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No commits in common. "a06177481b5aacfbec2d4d5a611cae642f2b3a7b" and "205b6740a8b01ab002fb2e5c4eb3f173a17bb3f3" have entirely different histories.

35 changed files with 436 additions and 476 deletions

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@ -8,7 +8,7 @@ message: 'To cite package "FreesearchR" in publications use:'
type: software
license: AGPL-3.0-or-later
title: 'FreesearchR: Easy data analysis for clinicians'
version: 25.10.3
version: 25.10.2
doi: 10.5281/zenodo.14527429
identifiers:
- type: url

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@ -1,6 +1,6 @@
Package: FreesearchR
Title: Easy data analysis for clinicians
Version: 25.10.3
Version: 25.10.2
Authors@R: c(
person("Andreas Gammelgaard", "Damsbo",email="agdamsbo@clin.au.dk", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-7559-1154")),

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@ -1,7 +1,3 @@
# FreesearchR 25.10.3
*NEW* Improvements to translations with more strings having been translated. Nearing completion of marking strings for translation, which means (almost) the complete interface is now translatable.
# FreesearchR 25.10.2
*NEW* Improvements to translations with more strings having been translated.

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@ -1 +1 @@
app_version <- function()'25.10.3'
app_version <- function()'25.10.2'

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@ -105,7 +105,7 @@ create_column_ui <- function(id) {
actionButton(
inputId = ns("compute"),
label = tagList(
phosphoricons::ph("pencil"), i18n$t("Create column")
phosphoricons::ph("gear"), i18n$t("Create column")
),
class = "btn-outline-primary",
width = "100%"
@ -113,8 +113,7 @@ create_column_ui <- function(id) {
actionButton(
inputId = ns("remove"),
label = tagList(
phosphoricons::ph("x-circle"),
i18n$t("Cancel")
phosphoricons::ph("trash")
),
class = "btn-outline-danger",
width = "100%"
@ -141,7 +140,9 @@ create_column_server <- function(id,
info_alert <- shinyWidgets::alert(
status = "info",
phosphoricons::ph("question"),
i18n$t("Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.")
i18n$t("Choose a name for the column to be created or modified,"),
i18n$t("then enter an expression before clicking on the button above to validate or on "),
phosphoricons::ph("trash"), i18n$t("to delete it.")
)
rv <- reactiveValues(
@ -243,7 +244,6 @@ list_allowed_operations <- function() {
}
#' @inheritParams shiny::modalDialog
#' @export
#'

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@ -166,7 +166,7 @@ describe_col_factor <- function(x, with_summary = TRUE) {
style = htmltools::css(fontStyle = "italic"),
get_var_icon(x),
# phosphoricons::ph("list-bullets"),
class(x)
"factor"
),
if (with_summary) {
tagList(
@ -319,7 +319,7 @@ construct_col_summary <- function(data) {
values <- data[[col]]
content <- if (inherits(values, "character")) {
describe_col_char(values)
} else if (inherits(values, c("factor","logical"))) {
} else if (inherits(values, "factor")) {
describe_col_factor(values)
} else if (inherits(values, c("numeric", "integer"))) {
describe_col_num(values)

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@ -1 +1 @@
hosted_version <- function()'v25.10.3-251008'
hosted_version <- function()'v25.10.2-251007'

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@ -73,7 +73,7 @@ import_globalenv_ui <- function(id,
id = ns("import-result"),
status = "info",
tags$b(i18n$t("No data selected!")),
i18n$t("Use a dataset from your environment or from the environment of a package."),
i18n$t("Use a datasat from your environment or from the environment of a package."),
dismissible = TRUE
)
),
@ -150,9 +150,7 @@ import_globalenv_server <- function(id,
selected = character(0),
choices = choices,
choicesOpt = choicesOpt,
options = list(
title = i18n$t("List of datasets..."),
"live-search" = TRUE)
options = list(title = i18n$t("List of datasets..."))
)
})
@ -161,7 +159,7 @@ import_globalenv_server <- function(id,
id = "import-result",
status = "info",
tags$b(i18n$t("No data selected!")),
i18n$t("Use a dataset from your environment or from the environment of a package."),
i18n$t("Use a datasat from your environment or from the environment of a package."),
dismissible = TRUE
)
)

View file

@ -35,7 +35,7 @@ plot_box <- function(data, pri, sec, ter = NULL,...) {
)
})
wrap_plot_list(out,title=glue::glue(i18n$t("Grouped by {get_label(data,ter)}")),...)
wrap_plot_list(out,title=glue::glue("Grouped by {get_label(data,ter)}"),...)
}

View file

@ -26,7 +26,7 @@ plot_violin <- function(data, pri, sec, ter = NULL) {
)
})
wrap_plot_list(out, title = glue::glue(i18n$t("Grouped by {get_label(data,ter)}")))
wrap_plot_list(out, title = glue::glue("Grouped by {get_label(data,ter)}"))
})
# patchwork::wrap_plots(out,guides = "collect")
}

View file

@ -26,6 +26,12 @@ m_redcap_readUI <- function(id, title = TRUE, url = NULL) {
width = "100%"
),
shiny::helpText(i18n$t("Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'")),
# shiny::textInput(
# inputId = ns("api"),
# label = "API token",
# value = "",
# width = "100%"
# ),
shiny::passwordInput(
inputId = ns("api"),
label = i18n$t("API token"),
@ -49,7 +55,7 @@ m_redcap_readUI <- function(id, title = TRUE, url = NULL) {
shinyWidgets::alert(
id = ns("connect-result"),
status = "info",
tags$p(phosphoricons::ph("info", weight = "bold"), i18n$t("Please fill in web address and API token, then press 'Connect'."))
tags$p(phosphoricons::ph("info", weight = "bold"), "Please fill in server address (URI) and API token, then press 'Connect'.")
),
dismissible = TRUE
),

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@ -69,18 +69,18 @@ regression_ui <- function(id, ...) {
# )
# ),
shiny::uiOutput(outputId = ns("regression_type")),
# shiny::radioButtons(
# inputId = ns("all"),
# label = i18n$t("Specify covariables"),
# inline = TRUE,
# selected = 2,
# choiceNames = c(
# "Yes",
# "No"
# ),
# choiceValues = c(1, 2)
# ),
shiny::uiOutput(outputId = ns("all_vars")),
shiny::radioButtons(
inputId = ns("all"),
label = i18n$t("Specify covariables"),
inline = TRUE,
selected = 2,
choiceNames = c(
"Yes",
"No"
),
choiceValues = c(1, 2)
),
# shiny::uiOutput(outputId = ns("all")),
shiny::conditionalPanel(
condition = "input.all==1",
shiny::uiOutput(outputId = ns("regression_vars")),
@ -102,7 +102,17 @@ regression_ui <- function(id, ...) {
),
shiny::helpText(i18n$t("Press 'Analyse' to create the regression model and after changing parameters.")),
shiny::tags$br(),
shiny::uiOutput(outputId = ns("add_regression_p")),
shiny::radioButtons(
inputId = ns("add_regression_p"),
label = i18n$t("Show p-value"),
inline = TRUE,
selected = "yes",
choiceNames = c(
"Yes",
"No"
),
choiceValues = c("yes", "no")
),
# shiny::tags$br(),
# shiny::radioButtons(
# inputId = ns("tbl_theme"),
@ -250,32 +260,20 @@ regression_server <- function(id,
bslib::accordion_panel_update(id = "acc_checks", target = "acc_pan_checks", title = i18n$t("Checks"))
})
output$all_vars <- shiny::renderUI(
shiny::radioButtons(
inputId = ns("all"),
label = i18n$t("Specify covariables"),
inline = TRUE,
selected = 2,
choiceNames = c(
i18n$t("Yes"),
i18n$t("No")
),
choiceValues = c(1, 2)
),
)
output$add_regression_p <- shiny::renderUI(
shiny::radioButtons(
inputId = ns("add_regression_p"),
label = i18n$t("Show p-value"),
inline = TRUE,
selected = "yes",
choiceNames = c(
i18n$t("Yes"),
i18n$t("No")
),
choiceValues = c("yes", "no")
))
# shiny::observe({
# shiny::updateRadioButtons(
# session = session,
# inputId = "all",
# label = i18n$t("Specify covariables"),
# # inline = TRUE,
# # selected = 2,
# choiceNames = c(
# i18n$t("Yes"),
# i18n$t("No")
# ),
# choiceValues = c(1, 2)
# )
# })

Binary file not shown.

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@ -99,7 +99,7 @@ ui_elements <- function(selection) {
import_globalenv_ui(
id = "env",
title = NULL,
packages = c("NHANES", "stRoke", "datasets")
packages = c("NHANES", "stRoke")
)
),
# shiny::conditionalPanel(
@ -330,7 +330,6 @@ ui_elements <- function(selection) {
),
shiny::tags$br(),
shiny::helpText(i18n$t("Reset to original imported dataset. Careful! There is no un-doing.")),
shiny::tags$br(),
shiny::tags$br()
)
# )
@ -443,7 +442,7 @@ ui_elements <- function(selection) {
title = "Settings",
icon = bsicons::bs_icon("x-circle"),
shiny::uiOutput("missings_var"),
shiny::helpText(i18n$t("To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random."))
shiny::helpText(i18n$t("To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not."))
)
)
),

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@ -11,11 +11,11 @@
|collate |en_US.UTF-8 |
|ctype |en_US.UTF-8 |
|tz |Europe/Copenhagen |
|date |2025-10-08 |
|date |2025-10-07 |
|rstudio |2025.05.0+496 Mariposa Orchid (desktop) |
|pandoc |3.6.4 @ /opt/homebrew/bin/ (via rmarkdown) |
|quarto |1.7.30 @ /usr/local/bin/quarto |
|FreesearchR |25.10.3.251008 |
|FreesearchR |25.10.2.251007 |
--------------------------------------------------------------------------------
@ -26,6 +26,8 @@
|apexcharter |0.4.4 |2024-09-06 |CRAN (R 4.4.1) |
|askpass |1.2.1 |2024-10-04 |CRAN (R 4.4.1) |
|assertthat |0.2.1 |2019-03-21 |CRAN (R 4.4.1) |
|attachment |0.4.5 |2025-03-14 |CRAN (R 4.4.1) |
|attempt |0.3.1 |2020-05-03 |CRAN (R 4.4.1) |
|backports |1.5.0 |2024-05-23 |CRAN (R 4.4.1) |
|base64enc |0.1-3 |2015-07-28 |CRAN (R 4.4.1) |
|bayestestR |0.16.1 |2025-07-01 |CRAN (R 4.4.1) |
@ -44,6 +46,7 @@
|cardx |0.2.5 |2025-07-03 |CRAN (R 4.4.1) |
|caTools |1.18.3 |2024-09-04 |CRAN (R 4.4.1) |
|cellranger |1.1.0 |2016-07-27 |CRAN (R 4.4.0) |
|cffr |1.2.0 |2025-01-25 |CRAN (R 4.4.1) |
|checkmate |2.3.2 |2024-07-29 |RSPM (R 4.4.0) |
|class |7.3-23 |2025-01-01 |CRAN (R 4.4.1) |
|classInt |0.4-11 |2025-01-08 |CRAN (R 4.4.1) |
@ -53,6 +56,7 @@
|colorspace |2.1-1 |2024-07-26 |CRAN (R 4.4.1) |
|commonmark |2.0.0 |2025-07-07 |CRAN (R 4.4.1) |
|crayon |1.5.3 |2024-06-20 |CRAN (R 4.4.1) |
|curl |6.4.0 |2025-06-22 |RSPM (R 4.4.0) |
|data.table |1.17.8 |2025-07-10 |CRAN (R 4.4.1) |
|datamods |1.5.3 |2024-10-02 |CRAN (R 4.4.1) |
|datawizard |1.2.0 |2025-07-17 |CRAN (R 4.4.1) |
@ -61,12 +65,12 @@
|devtools |2.4.5 |2022-10-11 |CRAN (R 4.4.0) |
|DHARMa |0.4.7 |2024-10-18 |CRAN (R 4.4.1) |
|digest |0.6.37 |2024-08-19 |CRAN (R 4.4.1) |
|dockerfiler |0.2.5 |2025-05-07 |CRAN (R 4.4.1) |
|doParallel |1.0.17 |2022-02-07 |CRAN (R 4.4.0) |
|dplyr |1.1.4 |2023-11-17 |CRAN (R 4.4.0) |
|DT |0.33 |2024-04-04 |CRAN (R 4.4.0) |
|e1071 |1.7-16 |2024-09-16 |CRAN (R 4.4.1) |
|easystats |0.7.5 |2025-07-11 |CRAN (R 4.4.1) |
|effectsize |1.0.1 |2025-05-27 |CRAN (R 4.4.1) |
|ellipsis |0.3.2 |2021-04-29 |CRAN (R 4.4.1) |
|emmeans |1.11.2 |2025-07-11 |CRAN (R 4.4.1) |
|esquisse |2.1.0 |2025-02-21 |CRAN (R 4.4.1) |
@ -84,7 +88,7 @@
|foreach |1.5.2 |2022-02-02 |CRAN (R 4.4.0) |
|foreign |0.8-90 |2025-03-31 |CRAN (R 4.4.1) |
|Formula |1.2-5 |2023-02-24 |CRAN (R 4.4.1) |
|FreesearchR |25.10.3 |NA |NA |
|FreesearchR |25.10.2 |NA |NA |
|fs |1.6.6 |2025-04-12 |CRAN (R 4.4.1) |
|gdtools |0.4.2 |2025-03-27 |CRAN (R 4.4.1) |
|generics |0.1.4 |2025-05-09 |CRAN (R 4.4.1) |
@ -112,10 +116,11 @@
|iterators |1.0.14 |2022-02-05 |CRAN (R 4.4.1) |
|jquerylib |0.1.4 |2021-04-26 |CRAN (R 4.4.0) |
|jsonlite |2.0.0 |2025-03-27 |CRAN (R 4.4.1) |
|jsonvalidate |1.5.0 |2025-02-07 |CRAN (R 4.4.1) |
|KernSmooth |2.23-26 |2025-01-01 |CRAN (R 4.4.1) |
|keyring |1.4.1 |2025-06-15 |CRAN (R 4.4.1) |
|knitr |1.50 |2025-03-16 |CRAN (R 4.4.1) |
|labelled |2.14.1 |2025-05-06 |CRAN (R 4.4.1) |
|labeling |0.4.3 |2023-08-29 |CRAN (R 4.4.1) |
|later |1.4.2 |2025-04-08 |RSPM (R 4.4.0) |
|lattice |0.22-7 |2025-04-02 |CRAN (R 4.4.1) |
|lifecycle |1.0.4 |2023-11-07 |CRAN (R 4.4.1) |
@ -139,6 +144,7 @@
|opdisDownsampling |1.0.1 |2024-04-15 |CRAN (R 4.4.0) |
|openssl |2.3.3 |2025-05-26 |CRAN (R 4.4.1) |
|openxlsx2 |1.18 |2025-07-29 |CRAN (R 4.4.1) |
|pak |0.9.0 |2025-05-27 |CRAN (R 4.4.1) |
|parameters |0.27.0 |2025-07-09 |CRAN (R 4.4.1) |
|patchwork |1.3.1 |2025-06-21 |RSPM (R 4.4.0) |
|pbmcapply |1.5.1 |2022-04-28 |CRAN (R 4.4.1) |
@ -160,13 +166,13 @@
|qqconf |1.3.2 |2023-04-14 |CRAN (R 4.4.0) |
|qqplotr |0.0.6 |2023-01-25 |CRAN (R 4.4.0) |
|quarto |1.5.0 |2025-07-28 |RSPM (R 4.4.0) |
|R.cache |0.17.0 |2025-05-02 |CRAN (R 4.4.1) |
|R.methodsS3 |1.8.2 |2022-06-13 |CRAN (R 4.4.1) |
|R.oo |1.27.1 |2025-05-02 |CRAN (R 4.4.1) |
|R.utils |2.13.0 |2025-02-24 |CRAN (R 4.4.1) |
|R6 |2.6.1 |2025-02-15 |CRAN (R 4.4.1) |
|ragg |1.4.0 |2025-04-10 |RSPM (R 4.4.0) |
|rankinPlot |1.1.0 |2023-01-30 |CRAN (R 4.4.0) |
|rappdirs |0.3.3 |2021-01-31 |CRAN (R 4.4.1) |
|rbibutils |2.3 |2024-10-04 |CRAN (R 4.4.1) |
|RColorBrewer |1.1-3 |2022-04-03 |CRAN (R 4.4.1) |
|Rcpp |1.1.0 |2025-07-02 |CRAN (R 4.4.1) |
@ -198,6 +204,7 @@
|sessioninfo |1.2.3 |2025-02-05 |CRAN (R 4.4.1) |
|shiny |1.11.1 |2025-07-03 |CRAN (R 4.4.1) |
|shiny.i18n |0.3.0 |2023-01-16 |CRAN (R 4.4.0) |
|shiny2docker |0.0.3 |2025-06-28 |CRAN (R 4.4.1) |
|shinybusy |0.3.3 |2024-03-09 |CRAN (R 4.4.0) |
|shinyjs |2.1.0 |2021-12-23 |CRAN (R 4.4.0) |
|shinyTime |1.0.3 |2022-08-19 |CRAN (R 4.4.0) |
@ -205,7 +212,6 @@
|stringi |1.8.7 |2025-03-27 |CRAN (R 4.4.1) |
|stringr |1.5.1 |2023-11-14 |RSPM (R 4.4.0) |
|stRoke |25.9.2 |2025-09-30 |CRAN (R 4.4.1) |
|styler |1.10.3 |2024-04-07 |CRAN (R 4.4.0) |
|systemfonts |1.2.3 |2025-04-30 |CRAN (R 4.4.1) |
|testthat |3.2.3 |2025-01-13 |CRAN (R 4.4.1) |
|textshaping |1.0.1 |2025-05-01 |RSPM (R 4.4.0) |
@ -220,7 +226,9 @@
|tzdb |0.5.0 |2025-03-15 |CRAN (R 4.4.1) |
|urlchecker |1.0.1 |2021-11-30 |CRAN (R 4.4.1) |
|usethis |3.1.0 |2024-11-26 |RSPM (R 4.4.0) |
|utf8 |1.2.6 |2025-06-08 |CRAN (R 4.4.1) |
|uuid |1.2-1 |2024-07-29 |CRAN (R 4.4.1) |
|V8 |6.0.6 |2025-08-18 |CRAN (R 4.4.1) |
|vctrs |0.6.5 |2023-12-01 |CRAN (R 4.4.0) |
|vroom |1.6.5 |2023-12-05 |CRAN (R 4.4.0) |
|withr |3.0.2 |2024-10-28 |CRAN (R 4.4.1) |
@ -229,4 +237,5 @@
|xml2 |1.3.8 |2025-03-14 |RSPM (R 4.4.0) |
|xtable |1.8-4 |2019-04-21 |CRAN (R 4.4.1) |
|yaml |2.3.10 |2024-07-26 |CRAN (R 4.4.1) |
|yesno |0.1.3 |2024-07-26 |CRAN (R 4.4.1) |
|zip |2.3.3 |2025-05-13 |CRAN (R 4.4.1) |

View file

@ -1,7 +1,7 @@
########
#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmpQghyAd/file101dc4d580c74.R
#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmprKaNhO/file2c9540d9ead9.R
########
i18n_path <- here::here("translations")
@ -62,7 +62,7 @@ i18n$set_translation_language("en")
#### Current file: /Users/au301842/FreesearchR/R//app_version.R
########
app_version <- function()'25.10.3'
app_version <- function()'25.10.2'
########
@ -500,7 +500,7 @@ create_column_ui <- function(id) {
actionButton(
inputId = ns("compute"),
label = tagList(
phosphoricons::ph("pencil"), i18n$t("Create column")
phosphoricons::ph("gear"), i18n$t("Create column")
),
class = "btn-outline-primary",
width = "100%"
@ -508,8 +508,7 @@ create_column_ui <- function(id) {
actionButton(
inputId = ns("remove"),
label = tagList(
phosphoricons::ph("x-circle"),
i18n$t("Cancel")
phosphoricons::ph("trash")
),
class = "btn-outline-danger",
width = "100%"
@ -536,7 +535,9 @@ create_column_server <- function(id,
info_alert <- shinyWidgets::alert(
status = "info",
phosphoricons::ph("question"),
i18n$t("Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.")
i18n$t("Choose a name for the column to be created or modified,"),
i18n$t("then enter an expression before clicking on the button above to validate or on "),
phosphoricons::ph("trash"), i18n$t("to delete it.")
)
rv <- reactiveValues(
@ -638,7 +639,6 @@ list_allowed_operations <- function() {
}
#' @inheritParams shiny::modalDialog
#' @export
#'
@ -3093,7 +3093,7 @@ describe_col_factor <- function(x, with_summary = TRUE) {
style = htmltools::css(fontStyle = "italic"),
get_var_icon(x),
# phosphoricons::ph("list-bullets"),
class(x)
"factor"
),
if (with_summary) {
tagList(
@ -3246,7 +3246,7 @@ construct_col_summary <- function(data) {
values <- data[[col]]
content <- if (inherits(values, "character")) {
describe_col_char(values)
} else if (inherits(values, c("factor","logical"))) {
} else if (inherits(values, "factor")) {
describe_col_factor(values)
} else if (inherits(values, c("numeric", "integer"))) {
describe_col_num(values)
@ -4035,7 +4035,7 @@ data_types <- function() {
#### Current file: /Users/au301842/FreesearchR/R//hosted_version.R
########
hosted_version <- function()'v25.10.3-251008'
hosted_version <- function()'v25.10.2-251007'
########
@ -4133,7 +4133,7 @@ import_globalenv_ui <- function(id,
id = ns("import-result"),
status = "info",
tags$b(i18n$t("No data selected!")),
i18n$t("Use a dataset from your environment or from the environment of a package."),
i18n$t("Use a datasat from your environment or from the environment of a package."),
dismissible = TRUE
)
),
@ -4210,9 +4210,7 @@ import_globalenv_server <- function(id,
selected = character(0),
choices = choices,
choicesOpt = choicesOpt,
options = list(
title = i18n$t("List of datasets..."),
"live-search" = TRUE)
options = list(title = i18n$t("List of datasets..."))
)
})
@ -4221,7 +4219,7 @@ import_globalenv_server <- function(id,
id = "import-result",
status = "info",
tags$b(i18n$t("No data selected!")),
i18n$t("Use a dataset from your environment or from the environment of a package."),
i18n$t("Use a datasat from your environment or from the environment of a package."),
dismissible = TRUE
)
)
@ -5313,7 +5311,7 @@ plot_box <- function(data, pri, sec, ter = NULL,...) {
)
})
wrap_plot_list(out,title=glue::glue(i18n$t("Grouped by {get_label(data,ter)}")),...)
wrap_plot_list(out,title=glue::glue("Grouped by {get_label(data,ter)}"),...)
}
@ -5971,7 +5969,7 @@ plot_violin <- function(data, pri, sec, ter = NULL) {
)
})
wrap_plot_list(out, title = glue::glue(i18n$t("Grouped by {get_label(data,ter)}")))
wrap_plot_list(out, title = glue::glue("Grouped by {get_label(data,ter)}"))
})
# patchwork::wrap_plots(out,guides = "collect")
}
@ -6090,6 +6088,12 @@ m_redcap_readUI <- function(id, title = TRUE, url = NULL) {
width = "100%"
),
shiny::helpText(i18n$t("Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'")),
# shiny::textInput(
# inputId = ns("api"),
# label = "API token",
# value = "",
# width = "100%"
# ),
shiny::passwordInput(
inputId = ns("api"),
label = i18n$t("API token"),
@ -6113,7 +6117,7 @@ m_redcap_readUI <- function(id, title = TRUE, url = NULL) {
shinyWidgets::alert(
id = ns("connect-result"),
status = "info",
tags$p(phosphoricons::ph("info", weight = "bold"), i18n$t("Please fill in web address and API token, then press 'Connect'."))
tags$p(phosphoricons::ph("info", weight = "bold"), "Please fill in server address (URI) and API token, then press 'Connect'.")
),
dismissible = TRUE
),
@ -7790,18 +7794,18 @@ regression_ui <- function(id, ...) {
# )
# ),
shiny::uiOutput(outputId = ns("regression_type")),
# shiny::radioButtons(
# inputId = ns("all"),
# label = i18n$t("Specify covariables"),
# inline = TRUE,
# selected = 2,
# choiceNames = c(
# "Yes",
# "No"
# ),
# choiceValues = c(1, 2)
# ),
shiny::uiOutput(outputId = ns("all_vars")),
shiny::radioButtons(
inputId = ns("all"),
label = i18n$t("Specify covariables"),
inline = TRUE,
selected = 2,
choiceNames = c(
"Yes",
"No"
),
choiceValues = c(1, 2)
),
# shiny::uiOutput(outputId = ns("all")),
shiny::conditionalPanel(
condition = "input.all==1",
shiny::uiOutput(outputId = ns("regression_vars")),
@ -7823,7 +7827,17 @@ regression_ui <- function(id, ...) {
),
shiny::helpText(i18n$t("Press 'Analyse' to create the regression model and after changing parameters.")),
shiny::tags$br(),
shiny::uiOutput(outputId = ns("add_regression_p")),
shiny::radioButtons(
inputId = ns("add_regression_p"),
label = i18n$t("Show p-value"),
inline = TRUE,
selected = "yes",
choiceNames = c(
"Yes",
"No"
),
choiceValues = c("yes", "no")
),
# shiny::tags$br(),
# shiny::radioButtons(
# inputId = ns("tbl_theme"),
@ -7971,32 +7985,20 @@ regression_server <- function(id,
bslib::accordion_panel_update(id = "acc_checks", target = "acc_pan_checks", title = i18n$t("Checks"))
})
output$all_vars <- shiny::renderUI(
shiny::radioButtons(
inputId = ns("all"),
label = i18n$t("Specify covariables"),
inline = TRUE,
selected = 2,
choiceNames = c(
i18n$t("Yes"),
i18n$t("No")
),
choiceValues = c(1, 2)
),
)
output$add_regression_p <- shiny::renderUI(
shiny::radioButtons(
inputId = ns("add_regression_p"),
label = i18n$t("Show p-value"),
inline = TRUE,
selected = "yes",
choiceNames = c(
i18n$t("Yes"),
i18n$t("No")
),
choiceValues = c("yes", "no")
))
# shiny::observe({
# shiny::updateRadioButtons(
# session = session,
# inputId = "all",
# label = i18n$t("Specify covariables"),
# # inline = TRUE,
# # selected = 2,
# choiceNames = c(
# i18n$t("Yes"),
# i18n$t("No")
# ),
# choiceValues = c(1, 2)
# )
# })
@ -8794,7 +8796,7 @@ ui_elements <- function(selection) {
import_globalenv_ui(
id = "env",
title = NULL,
packages = c("NHANES", "stRoke", "datasets")
packages = c("NHANES", "stRoke")
)
),
# shiny::conditionalPanel(
@ -9025,7 +9027,6 @@ ui_elements <- function(selection) {
),
shiny::tags$br(),
shiny::helpText(i18n$t("Reset to original imported dataset. Careful! There is no un-doing.")),
shiny::tags$br(),
shiny::tags$br()
)
# )
@ -9138,7 +9139,7 @@ ui_elements <- function(selection) {
title = "Settings",
icon = bsicons::bs_icon("x-circle"),
shiny::uiOutput("missings_var"),
shiny::helpText(i18n$t("To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random."))
shiny::helpText(i18n$t("To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not."))
)
)
),
@ -11458,8 +11459,7 @@ ui <- bslib::page_fixed(
#### Current file: /Users/au301842/FreesearchR/app/server.R
########
data("mtcars")
data("iris")
data(mtcars)
# trial <- gtsummary::trial
# starwars <- dplyr::starwars
@ -11739,7 +11739,7 @@ server <- function(input, output, session) {
)
},
error = function(err) {
showNotification(paste(i18n$t("We encountered the following error showing missingness:"), err), type = "err")
showNotification(paste0("We encountered the following error showing missingness: ", err), type = "err")
}
)
})
@ -12176,7 +12176,7 @@ server <- function(input, output, session) {
show_data(REDCapCAST::fct_drop(rv$data_filtered), title = i18n$t("Uploaded data overview"), type = "modal")
},
error = function(err) {
showNotification(paste(i18n$t("We encountered the following error browsing your data:"), err), type = "err")
showNotification(paste0("We encountered the following error browsing your data: ", err), type = "err")
}
)
})
@ -12200,7 +12200,7 @@ server <- function(input, output, session) {
)
},
error = function(err) {
showNotification(paste(i18n$t("We encountered the following error showing missingness:"), err), type = "err")
showNotification(paste0("We encountered the following error showing missingness: ", err), type = "err")
}
)
})
@ -12247,12 +12247,12 @@ server <- function(input, output, session) {
output$code_import <- shiny::renderUI({
shiny::req(rv$code$import)
prismCodeBlock(paste0("#", i18n$t("Data import"), "\n", rv$code$import))
prismCodeBlock(paste0(i18n$t("#Data import\n"), rv$code$import))
})
output$code_format <- shiny::renderUI({
shiny::req(rv$code$format)
prismCodeBlock(paste0("#", i18n$t("Data import formatting"), "\n", rv$code$format))
prismCodeBlock(paste0(i18n$t("#Data import formatting\n"), rv$code$format))
})
output$code_data <- shiny::renderUI({
@ -12270,23 +12270,23 @@ server <- function(input, output, session) {
pipe_string() |>
expression_string(assign.str = "df <- df |>\n")
prismCodeBlock(paste0("#", i18n$t("Data modifications"), "\n", out))
prismCodeBlock(paste0("#Data modifications\n", out))
})
output$code_variables <- shiny::renderUI({
shiny::req(rv$code$variables)
out <- expression_string(rv$code$variables, assign.str = "df <- df |>\n")
prismCodeBlock(paste0("#", i18n$t("Variables filter"), "\n", out))
prismCodeBlock(paste0("#Variables filter\n", out))
})
output$code_filter <- shiny::renderUI({
shiny::req(rv$code$filter)
prismCodeBlock(paste0("#", i18n$t("Data filter"), "\n", rv$code$filter))
prismCodeBlock(paste0("#Data filter\n", rv$code$filter))
})
output$code_table1 <- shiny::renderUI({
shiny::req(rv$code$table1)
prismCodeBlock(paste0("#", i18n$t("Data characteristics table"), "\n", rv$code$table1))
prismCodeBlock(paste0("#Data characteristics table\n", rv$code$table1))
})
@ -12330,7 +12330,7 @@ server <- function(input, output, session) {
output$data_info_nochar <- shiny::renderUI({
shiny::req(rv$list$data)
data_description(rv$list$data, data_text = i18n$t("The dataset without text variables"))
data_description(rv$list$data, data_text = "The dataset without text variables")
})
## Only allow evaluation if the dataset has fewer then 50 variables
@ -12369,7 +12369,7 @@ server <- function(input, output, session) {
# # stop(glue::glue(i18n$t("The data includes {n_col} variables. Please limit to 100.")))
# print("Please limit to 100.")
# } else {
shiny::withProgress(message = i18n$t("Creating the table. Hold on for a moment.."), {
shiny::withProgress(message = "Creating the table. Hold on for a moment..", {
rv$list$table1 <- rlang::exec(create_baseline, !!!append_list(rv$list$data, parameters, "data"))
})
# }
@ -12399,7 +12399,7 @@ server <- function(input, output, session) {
inputId = "outcome_var_cor",
selected = "none",
data = rv$list$data,
label = i18n$t("Select outcome variable"),
label = "Select outcome variable",
col_subset = c(
"none",
colnames(rv$list$data)
@ -12425,7 +12425,7 @@ server <- function(input, output, session) {
output$missings_var <- shiny::renderUI({
columnSelectInput(
inputId = "missings_var",
label = i18n$t("Select variable to stratify analysis"),
label = "Select variable to stratify analysis",
data = shiny::reactive({
shiny::req(rv$data_filtered)
rv$data_filtered[apply(rv$data_filtered, 2, anyNA)]
@ -12523,7 +12523,7 @@ server <- function(input, output, session) {
rv$list$regression <- rv$regression()
rv$list$missings <- rv$missings()
shiny::withProgress(message = i18n$t("Generating the report. Hold on for a moment.."), {
shiny::withProgress(message = "Generating the report. Hold on for a moment..", {
tryCatch(
{
rv$list |>

View file

@ -44,6 +44,9 @@
"Enter an expression to define new column:","Indtast udregningen til at definere en ny variabel:"
"Click on a column name to add it to the expression:","Tryk på et variabel navn for at tilføje det til udregningen:"
"Create column","Opret variabel"
"Choose a name for the column to be created or modified,","Vælg et navn til den ændrede eller nye variabel,"
"then enter an expression before clicking on the button above to validate or on","indtast herefter udregningen før du trykker på knappen ovenfor for at validere eller på"
"to delete it.","for at slette den."
"New column name cannot be empty","Det nye variabelnavn kan ikke være tomt"
"Create a new column","Opret ny variabel"
"Some operations are not allowed","Nogle beregninger er ikke tilladte"
@ -168,6 +171,7 @@
"Correlation cut-off","Korrelationsgrænse"
"Set the cut-off for considered 'highly correlated'.","Angiv grænsen for. hvad, der tolkes som 'betydelig korrelation'."
"Missings","Manglende observationer"
"To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not.","To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not."
"Class","Klasse"
"Observations","Observationer"
"Data classes and missing observations","Dataklasser og manglende observationer"
@ -176,11 +180,13 @@
"Confirm","Bekræft"
"The filtered data","Filtreret data"
"Create new factor","Ny kategorisk variabel"
"This window is aimed at advanced users and require some *R*-experience!","Dette vindue er primært for avancerede brugere med nogen *R*-erfaring!"
"Create new variables","Opret nye variabler"
"This window is aimed at advanced users and require some *R*-experience!","This window is aimed at advanced users and require some *R*-experience!"
"Create new variables","Opret ny variabel"
"Select data types to include","Vælg datatyper, der skal inkluderes"
"Uploaded data overview","Overblik over uploaded data"
"Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.","Her har du en oversigt over hvordan data er blevet formateret, og hvor der er manglende observationer. Brug informationen til at overveje om manglende data mangler tilfældigt eller og der er et mønster, som kan være et udtryk for systematisk manglende data (observationsbias)."
"Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.","Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias."
"#Data import\n","#Data import\n"
"#Data import formatting\n","#Formatering ved data-import\n"
"Specify covariables","Angiv kovariabler"
"If none are selected, all are included.","Hvis ingen er valgt inkluderes alle."
"Analyse","Analysér"
@ -191,67 +197,53 @@
"Please confirm data reset!","Bekræft gendannelse af data!"
"Import data from REDCap","Importér data fra REDCap"
"REDCap server","REDCap-server"
"Web address","Serveradresse"
"Web address","Web address"
"Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'","Adressen skal være som 'https://redcap.your.institution/' eller 'https://your.institution/redcap/'"
"API token","API-nøgle"
"API token","API token"
"The token is a string of 32 numbers and letters.","En API-nøgle består af ialt 32 tal og bogstaver."
"Connect","Forbind"
"Data import parameters","Data import parameters"
"Select fields/variables to import and click the funnel to apply optional filters","Vælg variabler, der skal importeres og tryk på tragten for at anvende valgfrie filtre"
"Select fields/variables to import and click the funnel to apply optional filters","Select fields/variables to import and click the funnel to apply optional filters"
"Import","Import"
"Click to see data dictionary","Tryk for at se metadata (Data Dictionary)"
"Connected to server!","Forbindelse til serveren oprettet!"
"The {data_rv$info$project_title} project is loaded.","{data_rv$info$project_title}-projektet er forbundet."
"Click to see data dictionary","Click to see data dictionary"
"Connected to server!","Connected to server!"
"The {data_rv$info$project_title} project is loaded.","The {data_rv$info$project_title} project is loaded."
"Data dictionary","Data dictionary"
"Preview:","Forsmag:"
"Imported data set","Importeret datasæt"
"Select fields/variables to import:","Vælg variabler, der skal importeres:"
"Specify the data format","Specificér dataformatet"
"Fill missing values?","Skal manglende observationer udfyldes?"
"Requested data was retrieved!","Det udvalgte data blev hentet!"
"Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data er hentet, men det ser ud til kun at indeholde ID-variablen. Du skal kontakte din REDCap-administrator og sikre dig at du har adgang til faktisk at hente de udvalgte data."
"Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data er hentet, men det ser ud til kun at indeholde nogle af de udvalgte variabler. Du skal kontakte din REDCap-administrator og sikre dig at du har adgang til faktisk at hente de udvalgte data."
"Click to see the imported data","Tryk for at se de importerede data"
"Regression table","Regressionstabel"
"Import a dataset from an environment","Importer et datasæt fra et kodemiljø"
"Preview:","Preview:"
"Imported data set","Imported data set"
"Select fields/variables to import:","Select fields/variables to import:"
"Specify the data format","Specify the data format"
"Fill missing values?","Fill missing values?"
"Requested data was retrieved!","Requested data was retrieved!"
"Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access."
"Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access."
"Click to see the imported data","Click to see the imported data"
"Regression table","Regression table"
"Import a dataset from an environment","Import a dataset from an environment"
"Select a dataset:","Vælg datasæt:"
"List of datasets...","Liste af datasæt..."
"List of datasets...","List of datasets..."
"No data selected!","Ingen data valgt!"
"Use a datasat from your environment or from the environment of a package.","Use a datasat from your environment or from the environment of a package."
"No dataset here...","Ingen datasæt her..."
"Use a dataset from your environment or from the environment of a package.","Brug et datasæt fra dit lokale kodemiljø eller fra en tilgængelig pakke."
"Use a dataset from your environment or from the environment of a package.","Use a dataset from your environment or from the environment of a package."
"Not a data.frame","Ikke en data.frame"
"Select source","Vælg datakilde"
"Select a data source:","Vælg datakilde:"
"Yes","Ja"
"No","Nej"
"Coefficient plot","Koefficientplot"
"Select outcome variable","Vælg svarvariablen"
"Choose regression analysis","Vælg regressionsanalysen"
"Covariables to format as categorical","Kovariabler, der skal omklassificeres som kategoriske"
"Select variable to stratify baseline","Vælg variabel til a stratificere tabellen"
"Select models to plot","Vælg de modeller, der skal visualiseres"
"Creating regression models failed with the following error:","Oprettelsen af en regressionsmodel fejlede med den følgende besked:"
"Creating a regression table failed with the following error:","Oprettelsen af en regressionstabel fejlede med den følgende besked:"
"Saving the plot. Hold on for a moment..","Gemmer grafikken. Vent et øjeblik.."
"Running model assumptions checks failed with the following error:","Tjek af antagelser for regressionsmodellen fejlede med den følgende besked:"
"Select checks to plot","Vælg modeltests, der skal visualiseres"
"Multivariable regression model checks","Tests af multivariabel regressionsmodel"
"Grouped by {get_label(data,ter)}","Grupperet efter {get_label(data,ter)}"
"Option to perform statistical comparisons between strata in baseline table.","Mulighed for at udføre statistiske tests mellem strata i oversigtstabellen."
"Press 'Evaluate' to create the comparison table.","Tryk 'Evaluér' for at oprette en oversigtstabel."
"The data includes {n_col} variables. Please limit to 100.","Data indeholder {n_col} variabler. Begræns venligst til 100."
"Data import","Data import"
"Data import formatting","Formatering af data ved import"
"Data modifications","Ændringer af data"
"Variables filter","Variables filter"
"Data filter","Data filter"
"Data characteristics table","Oversigtstabel"
"The dataset without text variables","Datasættet uden variabler formateret som tekst"
"Creating the table. Hold on for a moment..","Opretter tabellen. Vent et øjeblik.."
"Select variable to stratify analysis","Vælg variabler til at stratificere analysen"
"Generating the report. Hold on for a moment..","Opretter rapporten. Vent et øjeblik.."
"We encountered the following error showing missingness:","Under analysen af manglende observationer opstod følgende fejl:"
"We encountered the following error browsing your data:","I forsøget på at vise en dataoversigt opstod følgende fejl:"
"To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random.","Vælg svarvariablen, for at få hjælp til at vurdere om manglende observationer manglende tilfældigt eller ej (kun variabler med manglende data kan vælges). Hvis der er statistisk signifikant forskel mellem nogle af de øvrige variabler i forhold til manglende data i den valgte variable kan det være et udtryk for at data ikke mangler tilfældigt."
"Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.","Vælg et navn til den nye variabel, skriv din formel og tryk så på knappen for at gemme variablen, eller annuler for at lukke uden at gemme."
"Please fill in web address and API token, then press 'Connect'.","Udfyld serveradresse og API-nøgle, og tryk så 'Fobind'."
"Coefficient plot","Coefficient plot"
"Select outcome variable","Select outcome variable"
"Choose regression analysis","Choose regression analysis"
"Covariables to format as categorical","Covariables to format as categorical"
"Select variable to stratify baseline","Select variable to stratify baseline"
"Select models to plot","Select models to plot"
"Creating regression models failed with the following error:","Creating regression models failed with the following error:"
"Creating a regression table failed with the following error:","Creating a regression table failed with the following error:"
"Saving the plot. Hold on for a moment..","Saving the plot. Hold on for a moment.."
"Running model assumptions checks failed with the following error:","Running model assumptions checks failed with the following error:"
"Select checks to plot","Select checks to plot"
"Multivariable regression model checks","Multivariable regression model checks"
"Grouped by {get_label(data,ter)}","Grouped by {get_label(data,ter)}"
"Option to perform statistical comparisons between strata in baseline table.","Option to perform statistical comparisons between strata in baseline table."
"Press 'Evaluate' to create the comparison table.","Press 'Evaluate' to create the comparison table."
"The data includes {n_col} variables. Please limit to 100.","The data includes {n_col} variables. Please limit to 100."

1 en da
44 Enter an expression to define new column: Indtast udregningen til at definere en ny variabel:
45 Click on a column name to add it to the expression: Tryk på et variabel navn for at tilføje det til udregningen:
46 Create column Opret variabel
47 Choose a name for the column to be created or modified, Vælg et navn til den ændrede eller nye variabel,
48 then enter an expression before clicking on the button above to validate or on indtast herefter udregningen før du trykker på knappen ovenfor for at validere eller på
49 to delete it. for at slette den.
50 New column name cannot be empty Det nye variabelnavn kan ikke være tomt
51 Create a new column Opret ny variabel
52 Some operations are not allowed Nogle beregninger er ikke tilladte
171 Correlation cut-off Korrelationsgrænse
172 Set the cut-off for considered 'highly correlated'. Angiv grænsen for. hvad, der tolkes som 'betydelig korrelation'.
173 Missings Manglende observationer
174 To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not. To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not.
175 Class Klasse
176 Observations Observationer
177 Data classes and missing observations Dataklasser og manglende observationer
180 Confirm Bekræft
181 The filtered data Filtreret data
182 Create new factor Ny kategorisk variabel
183 This window is aimed at advanced users and require some *R*-experience! Dette vindue er primært for avancerede brugere med nogen *R*-erfaring! This window is aimed at advanced users and require some *R*-experience!
184 Create new variables Opret nye variabler Opret ny variabel
185 Select data types to include Vælg datatyper, der skal inkluderes
186 Uploaded data overview Overblik over uploaded data
187 Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias. Her har du en oversigt over hvordan data er blevet formateret, og hvor der er manglende observationer. Brug informationen til at overveje om manglende data mangler tilfældigt eller og der er et mønster, som kan være et udtryk for systematisk manglende data (observationsbias). Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.
188 #Data import\n #Data import\n
189 #Data import formatting\n #Formatering ved data-import\n
190 Specify covariables Angiv kovariabler
191 If none are selected, all are included. Hvis ingen er valgt inkluderes alle.
192 Analyse Analysér
197 Please confirm data reset! Bekræft gendannelse af data!
198 Import data from REDCap Importér data fra REDCap
199 REDCap server REDCap-server
200 Web address Serveradresse Web address
201 Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/' Adressen skal være som 'https://redcap.your.institution/' eller 'https://your.institution/redcap/'
202 API token API-nøgle API token
203 The token is a string of 32 numbers and letters. En API-nøgle består af ialt 32 tal og bogstaver.
204 Connect Forbind
205 Data import parameters Data import parameters
206 Select fields/variables to import and click the funnel to apply optional filters Vælg variabler, der skal importeres og tryk på tragten for at anvende valgfrie filtre Select fields/variables to import and click the funnel to apply optional filters
207 Import Import
208 Click to see data dictionary Tryk for at se metadata (Data Dictionary) Click to see data dictionary
209 Connected to server! Forbindelse til serveren oprettet! Connected to server!
210 The {data_rv$info$project_title} project is loaded. {data_rv$info$project_title}-projektet er forbundet. The {data_rv$info$project_title} project is loaded.
211 Data dictionary Data dictionary
212 Preview: Forsmag: Preview:
213 Imported data set Importeret datasæt Imported data set
214 Select fields/variables to import: Vælg variabler, der skal importeres: Select fields/variables to import:
215 Specify the data format Specificér dataformatet Specify the data format
216 Fill missing values? Skal manglende observationer udfyldes? Fill missing values?
217 Requested data was retrieved! Det udvalgte data blev hentet! Requested data was retrieved!
218 Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access. Data er hentet, men det ser ud til kun at indeholde ID-variablen. Du skal kontakte din REDCap-administrator og sikre dig at du har adgang til faktisk at hente de udvalgte data. Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.
219 Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access. Data er hentet, men det ser ud til kun at indeholde nogle af de udvalgte variabler. Du skal kontakte din REDCap-administrator og sikre dig at du har adgang til faktisk at hente de udvalgte data. Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.
220 Click to see the imported data Tryk for at se de importerede data Click to see the imported data
221 Regression table Regressionstabel Regression table
222 Import a dataset from an environment Importer et datasæt fra et kodemiljø Import a dataset from an environment
223 Select a dataset: Vælg datasæt:
224 List of datasets... Liste af datasæt... List of datasets...
225 No data selected! Ingen data valgt!
226 Use a datasat from your environment or from the environment of a package. Use a datasat from your environment or from the environment of a package.
227 No dataset here... Ingen datasæt her...
228 Use a dataset from your environment or from the environment of a package. Brug et datasæt fra dit lokale kodemiljø eller fra en tilgængelig pakke. Use a dataset from your environment or from the environment of a package.
229 Not a data.frame Ikke en data.frame
230 Select source Vælg datakilde
231 Select a data source: Vælg datakilde:
232 Yes Ja
233 No Nej
234 Coefficient plot Koefficientplot Coefficient plot
235 Select outcome variable Vælg svarvariablen Select outcome variable
236 Choose regression analysis Vælg regressionsanalysen Choose regression analysis
237 Covariables to format as categorical Kovariabler, der skal omklassificeres som kategoriske Covariables to format as categorical
238 Select variable to stratify baseline Vælg variabel til a stratificere tabellen Select variable to stratify baseline
239 Select models to plot Vælg de modeller, der skal visualiseres Select models to plot
240 Creating regression models failed with the following error: Oprettelsen af en regressionsmodel fejlede med den følgende besked: Creating regression models failed with the following error:
241 Creating a regression table failed with the following error: Oprettelsen af en regressionstabel fejlede med den følgende besked: Creating a regression table failed with the following error:
242 Saving the plot. Hold on for a moment.. Gemmer grafikken. Vent et øjeblik.. Saving the plot. Hold on for a moment..
243 Running model assumptions checks failed with the following error: Tjek af antagelser for regressionsmodellen fejlede med den følgende besked: Running model assumptions checks failed with the following error:
244 Select checks to plot Vælg modeltests, der skal visualiseres Select checks to plot
245 Multivariable regression model checks Tests af multivariabel regressionsmodel Multivariable regression model checks
246 Grouped by {get_label(data,ter)} Grupperet efter {get_label(data,ter)} Grouped by {get_label(data,ter)}
247 Option to perform statistical comparisons between strata in baseline table. Mulighed for at udføre statistiske tests mellem strata i oversigtstabellen. Option to perform statistical comparisons between strata in baseline table.
248 Press 'Evaluate' to create the comparison table. Tryk 'Evaluér' for at oprette en oversigtstabel. Press 'Evaluate' to create the comparison table.
249 The data includes {n_col} variables. Please limit to 100. Data indeholder {n_col} variabler. Begræns venligst til 100. The data includes {n_col} variables. Please limit to 100.
Data import Data import
Data import formatting Formatering af data ved import
Data modifications Ændringer af data
Variables filter Variables filter
Data filter Data filter
Data characteristics table Oversigtstabel
The dataset without text variables Datasættet uden variabler formateret som tekst
Creating the table. Hold on for a moment.. Opretter tabellen. Vent et øjeblik..
Select variable to stratify analysis Vælg variabler til at stratificere analysen
Generating the report. Hold on for a moment.. Opretter rapporten. Vent et øjeblik..
We encountered the following error showing missingness: Under analysen af manglende observationer opstod følgende fejl:
We encountered the following error browsing your data: I forsøget på at vise en dataoversigt opstod følgende fejl:
To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random. Vælg svarvariablen, for at få hjælp til at vurdere om manglende observationer manglende tilfældigt eller ej (kun variabler med manglende data kan vælges). Hvis der er statistisk signifikant forskel mellem nogle af de øvrige variabler i forhold til manglende data i den valgte variable kan det være et udtryk for at data ikke mangler tilfældigt.
Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything. Vælg et navn til den nye variabel, skriv din formel og tryk så på knappen for at gemme variablen, eller annuler for at lukke uden at gemme.
Please fill in web address and API token, then press 'Connect'. Udfyld serveradresse og API-nøgle, og tryk så 'Fobind'.

View file

@ -44,6 +44,9 @@
"Enter an expression to define new column:","Enter an expression to define new column:"
"Click on a column name to add it to the expression:","Click on a column name to add it to the expression:"
"Create column","Create column"
"Choose a name for the column to be created or modified,","Choose a name for the column to be created or modified,"
"then enter an expression before clicking on the button above to validate or on","then enter an expression before clicking on the button above to validate or on"
"to delete it.","to delete it."
"New column name cannot be empty","New column name cannot be empty"
"Create a new column","Create a new column"
"Some operations are not allowed","Some operations are not allowed"
@ -168,6 +171,7 @@
"Correlation cut-off","Correlation cut-off"
"Set the cut-off for considered 'highly correlated'.","Set the cut-off for considered 'highly correlated'."
"Missings","Missings"
"To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not.","To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not."
"Class","Class"
"Observations","Observations"
"Data classes and missing observations","Data classes and missing observations"
@ -181,6 +185,8 @@
"Select data types to include","Select data types to include"
"Uploaded data overview","Uploaded data overview"
"Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.","Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias."
"#Data import\n","#Data import\n"
"#Data import formatting\n","#Data import formatting\n"
"Specify covariables","Specify covariables"
"If none are selected, all are included.","If none are selected, all are included."
"Analyse","Analyse"
@ -217,6 +223,7 @@
"Select a dataset:","Select a dataset:"
"List of datasets...","List of datasets..."
"No data selected!","No data selected!"
"Use a datasat from your environment or from the environment of a package.","Use a datasat from your environment or from the environment of a package."
"No dataset here...","No dataset here..."
"Use a dataset from your environment or from the environment of a package.","Use a dataset from your environment or from the environment of a package."
"Not a data.frame","Not a data.frame"
@ -240,18 +247,3 @@
"Option to perform statistical comparisons between strata in baseline table.","Option to perform statistical comparisons between strata in baseline table."
"Press 'Evaluate' to create the comparison table.","Press 'Evaluate' to create the comparison table."
"The data includes {n_col} variables. Please limit to 100.","The data includes {n_col} variables. Please limit to 100."
"Data import","Data import"
"Data import formatting","Data import formatting"
"Data modifications","Data modifications"
"Variables filter","Variables filter"
"Data filter","Data filter"
"Data characteristics table","Data characteristics table"
"The dataset without text variables","The dataset without text variables"
"Creating the table. Hold on for a moment..","Creating the table. Hold on for a moment.."
"Select variable to stratify analysis","Select variable to stratify analysis"
"Generating the report. Hold on for a moment..","Generating the report. Hold on for a moment.."
"We encountered the following error showing missingness:","We encountered the following error showing missingness:"
"We encountered the following error browsing your data:","We encountered the following error browsing your data:"
"To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random.","To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random."
"Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.","Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything."
"Please fill in web address and API token, then press 'Connect'.","Please fill in web address and API token, then press 'Connect'."

1 en sw
44 Enter an expression to define new column: Enter an expression to define new column:
45 Click on a column name to add it to the expression: Click on a column name to add it to the expression:
46 Create column Create column
47 Choose a name for the column to be created or modified, Choose a name for the column to be created or modified,
48 then enter an expression before clicking on the button above to validate or on then enter an expression before clicking on the button above to validate or on
49 to delete it. to delete it.
50 New column name cannot be empty New column name cannot be empty
51 Create a new column Create a new column
52 Some operations are not allowed Some operations are not allowed
171 Correlation cut-off Correlation cut-off
172 Set the cut-off for considered 'highly correlated'. Set the cut-off for considered 'highly correlated'.
173 Missings Missings
174 To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not. To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not.
175 Class Class
176 Observations Observations
177 Data classes and missing observations Data classes and missing observations
185 Select data types to include Select data types to include
186 Uploaded data overview Uploaded data overview
187 Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias. Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.
188 #Data import\n #Data import\n
189 #Data import formatting\n #Data import formatting\n
190 Specify covariables Specify covariables
191 If none are selected, all are included. If none are selected, all are included.
192 Analyse Analyse
223 Select a dataset: Select a dataset:
224 List of datasets... List of datasets...
225 No data selected! No data selected!
226 Use a datasat from your environment or from the environment of a package. Use a datasat from your environment or from the environment of a package.
227 No dataset here... No dataset here...
228 Use a dataset from your environment or from the environment of a package. Use a dataset from your environment or from the environment of a package.
229 Not a data.frame Not a data.frame
247 Option to perform statistical comparisons between strata in baseline table. Option to perform statistical comparisons between strata in baseline table.
248 Press 'Evaluate' to create the comparison table. Press 'Evaluate' to create the comparison table.
249 The data includes {n_col} variables. Please limit to 100. The data includes {n_col} variables. Please limit to 100.
Data import Data import
Data import formatting Data import formatting
Data modifications Data modifications
Variables filter Variables filter
Data filter Data filter
Data characteristics table Data characteristics table
The dataset without text variables The dataset without text variables
Creating the table. Hold on for a moment.. Creating the table. Hold on for a moment..
Select variable to stratify analysis Select variable to stratify analysis
Generating the report. Hold on for a moment.. Generating the report. Hold on for a moment..
We encountered the following error showing missingness: We encountered the following error showing missingness:
We encountered the following error browsing your data: We encountered the following error browsing your data:
To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random. To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random.
Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything. Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.
Please fill in web address and API token, then press 'Connect'. Please fill in web address and API token, then press 'Connect'.

View file

@ -8,10 +8,6 @@ a free tool for basic data evaluation and analysis. If you need more
advanced tools, start with <strong><em>FreesearchR</em></strong> and
then youll probably be better off using <em>R</em> or similar
directly.</p>
<p>The <strong><em>FreesearchR</em></strong> app should be available to
as many people as possible, and the interface can be translated to any
language. If you have suggestions or want to help translate, please
reach out on <a href="mailto:info@freesearchr.org">info@freesearchr.org</a>.</p>
<p>With this tool you can:</p>
<ol style="list-style-type: decimal">
<li><p><strong>Import data</strong> from a spreadsheet/file on your

View file

@ -6,8 +6,6 @@ output: html_fragment
This is the ***FreesearchR*** data analysis tool, a free tool for basic data evaluation and analysis. If you need more advanced tools, start with ***FreesearchR*** and then you'll probably be better off using *R* or similar directly.
The ***FreesearchR*** app should be available to as many people as possible, and the interface can be translated to any language. If you have suggestions or want to help translate, please reach out on [info@freesearchr.org](mailto:info@freesearchr.org).
With this tool you can:
1. **Import data** from a spreadsheet/file on your machine, directly from a [REDCap](https://projectredcap.org/ "Read more on the data capture tool REDCap") server, try it with sample data or access data directly [if run in R locally](https://agdamsbo.github.io/FreesearchR//#run-locally-on-your-own-machine "Read about running FreesearchR on your local machine")

View file

@ -20,18 +20,18 @@ eksempel-data eller tilgå data direkte <a href="https://agdamsbo.github.io/Free
afvikler i R lokalt</a></p></li>
<li><p><strong>Forbered</strong> data til analys ved at filtrere, ændre
variabler eller opret helt nye variabler</p></li>
<li><p><strong>Evaluer data</strong> ved hjælp af beskrivende
analysemetoder og inspicer krydskorrelationer samt <a href="https://agdamsbo.github.io/FreesearchR/articles/missingness.html" title="Læs mere om manglende data">manglende observationer</a></p></li>
<li><p><strong>Visualiser data</strong> ved at <a href="https://agdamsbo.github.io/FreesearchR/articles/visuals.html" title="Se tilgængelige plottyper">oprette enkle, rene plots</a> for
overblik og hurtig indsigt</p></li>
<li><p><strong>Opret simple regressionsmodeller</strong> til endnu mere
avancerede dataanalyser</p></li>
<li><p><strong>Download</strong> resultater som en rapport, hent det
ændrede datasæt og gem koden til læring og til senere reproduktion af
resultaterne</p></li>
<li><p><strong>Evaluate data</strong> using descriptive analyses methods
and inspect cross-correlations as well as <a href="https://agdamsbo.github.io/FreesearchR/articles/missingness.html" title="Read more about missing data">missing observations</a></p></li>
<li><p><strong>Visualise data</strong> by <a href="https://agdamsbo.github.io/FreesearchR/articles/visuals.html" title="See available plot types">creating simple, clean plots</a> for
overview and quick insights</p></li>
<li><p><strong>Create simple regression models</strong> for even more
advanced data analyses</p></li>
<li><p><strong>Download</strong> results as a report, get the modified
data set and save the code for learning and to reproduce the results
later</p></li>
</ol>
<p>Den fulde <a href="https://agdamsbo.github.io/FreesearchR/">projektdokumentation er
her</a>, hvor du finder detaljerede beskrivelser af appen og et link til
kildekoden! Hvis du vil <a href="https://redcap.au.dk/surveys/?s=JPCLPTXYDKFA8DA8">dele feedback,
kan du følge dette link til et enkelt spørgeskema</a>.</p>
<p>The full <a href="https://agdamsbo.github.io/FreesearchR/">project
documentation is here</a> where youll find detailed descriptions of the
app and link to the source code! If you want to <a href="https://redcap.au.dk/surveys/?s=JPCLPTXYDKFA8DA8">share feedback,
please follow this link to a simple survey</a>.</p>
</div>

View file

@ -14,12 +14,12 @@ Herunder kan du helt kort se, hvad du kan bruge ***FreesearchR*** til:
2. **Forbered** data til analys ved at filtrere, ændre variabler eller opret helt nye variabler
3. **Evaluer data** ved hjælp af beskrivende analysemetoder og inspicer krydskorrelationer samt [manglende observationer](https://agdamsbo.github.io/FreesearchR/articles/missingness.html "Læs mere om manglende data")
3. **Evaluate data** using descriptive analyses methods and inspect cross-correlations as well as [missing observations](https://agdamsbo.github.io/FreesearchR/articles/missingness.html "Read more about missing data")
4. **Visualiser data** ved at [oprette enkle, rene plots](https://agdamsbo.github.io/FreesearchR/articles/visuals.html "Se tilgængelige plottyper") for overblik og hurtig indsigt
4. **Visualise data** by [creating simple, clean plots](https://agdamsbo.github.io/FreesearchR/articles/visuals.html "See available plot types") for overview and quick insights
5. **Opret simple regressionsmodeller** til endnu mere avancerede dataanalyser
5. **Create simple regression models** for even more advanced data analyses
6. **Download** resultater som en rapport, hent det ændrede datasæt og gem koden til læring og til senere reproduktion af resultaterne
6. **Download** results as a report, get the modified data set and save the code for learning and to reproduce the results later
Den fulde [projektdokumentation er her](https://agdamsbo.github.io/FreesearchR/), hvor du finder detaljerede beskrivelser af appen og et link til kildekoden! Hvis du vil [dele feedback, kan du følge dette link til et enkelt spørgeskema](https://redcap.au.dk/surveys/?s=JPCLPTXYDKFA8DA8).
The full [project documentation is here](https://agdamsbo.github.io/FreesearchR/) where you'll find detailed descriptions of the app and link to the source code! If you want to [share feedback, please follow this link to a simple survey](https://redcap.au.dk/surveys/?s=JPCLPTXYDKFA8DA8).

File diff suppressed because one or more lines are too long

View file

@ -2,7 +2,7 @@
output: html_fragment
---
# Karibu sana! <img src="FreesearchR-logo.png" style="float: right;"/>
# Karibu <img src="FreesearchR-logo.png" style="float: right;"/>
Hii ni ***FreesearchR*** zana ya kuchanganua data, zana isiyolipishwa ya kutathmini na kuchanganua data msingi. Iwapo unahitaji zana za kina zaidi, anza na ***FreesearchR*** na basi pengine utakuwa bora kutumia *R* au sawa moja kwa moja.
@ -10,16 +10,16 @@ Tunajitahidi kutambulisha tafsiri kamili kwa Kiswahili. Ikiwa ungependa kuchangi
Na ***FreesearchR*** unaweza:
1. **Ingiza data** kutoka kwa lahajedwali/faili kwenye mashine yako, moja kwa moja kutoka kwa seva ya [REDCap](https://projectredcap.org/ "Soma zaidi kuhusu zana ya kunasa data ya REDCap"), ijaribu kwa sampuli ya data au ufikie data moja kwa moja [ikiwa inaendeshwa katika R ndani ya nchi](https://agdamsbo.github.io/Freesearchourcal-R/-#ownon-run-your-ruwnon-" FreesearchR kwenye mashine yako ya karibu")
1. **Import data** from a spreadsheet/file on your machine, directly from a [REDCap](https://projectredcap.org/ "Read more on the data capture tool REDCap") server, try it with sample data or access data directly [if run in R locally](https://agdamsbo.github.io/FreesearchR//#run-locally-on-your-own-machine "Read about running FreesearchR on your local machine")
2. **Andaa** data kwa uchanganuzi kwa kuchuja data, kurekebisha vigeu au kuunda vigeu vipya
2. **Prepare** data for analysis by filtering data, modifying variables or create new variables
3. **Tathmini data** kwa kutumia mbinu za uchanganuzi wa maelezo na ukague miunganisho mtambuka pamoja na [maoni yanayokosekana](https://agdamsbo.github.io/FreesearchR/articles/missingness.html "Soma zaidi kuhusu kukosa data")
3. **Evaluate data** using descriptive analyses methods and inspect cross-correlations as well as [missing observations](https://agdamsbo.github.io/FreesearchR/articles/missingness.html "Read more about missing data")
4. **Onyesha data** kwa [kuunda viwanja rahisi na safi](https://agdamsbo.github.io/FreesearchR/articles/visuals.html "Angalia aina zinazopatikana za viwanja") kwa muhtasari na maarifa ya haraka
4. **Visualise data** by [creating simple, clean plots](https://agdamsbo.github.io/FreesearchR/articles/visuals.html "See available plot types") for overview and quick insights
5. **Unda miundo rahisi ya kurejesha kumbukumbu** kwa uchanganuzi wa hali ya juu zaidi wa data
5. **Create simple regression models** for even more advanced data analyses
6. **Pakua** matokeo kama ripoti, pata seti ya data iliyorekebishwa na uhifadhi msimbo wa kujifunza na kutoa matokeo baadaye
6. **Download** results as a report, get the modified data set and save the code for learning and to reproduce the results later
[Hati kamili za mradi ziko hapa](https://agdamsbo.github.io/FreesearchR/) ambapo utapata maelezo ya kina ya programu na kiungo cha msimbo wa chanzo! Iwapo ungependa [kushiriki maoni, tafadhali fuata kiungo hiki cha utafiti rahisi](https://redcap.au.dk/surveys/?s=JPCLPTXYDKFA8DA8).
The full [project documentation is here](https://agdamsbo.github.io/FreesearchR/) where you'll find detailed descriptions of the app and link to the source code! If you want to [share feedback, please follow this link to a simple survey](https://redcap.au.dk/surveys/?s=JPCLPTXYDKFA8DA8).

View file

@ -1,7 +1,7 @@
########
#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmpQghyAd/file101dc71002b73.R
#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmprKaNhO/file2c953618a132.R
########
i18n_path <- system.file("translations", package = "FreesearchR")
@ -62,7 +62,7 @@ i18n$set_translation_language("en")
#### Current file: /Users/au301842/FreesearchR/R//app_version.R
########
app_version <- function()'25.10.3'
app_version <- function()'25.10.2'
########
@ -500,7 +500,7 @@ create_column_ui <- function(id) {
actionButton(
inputId = ns("compute"),
label = tagList(
phosphoricons::ph("pencil"), i18n$t("Create column")
phosphoricons::ph("gear"), i18n$t("Create column")
),
class = "btn-outline-primary",
width = "100%"
@ -508,8 +508,7 @@ create_column_ui <- function(id) {
actionButton(
inputId = ns("remove"),
label = tagList(
phosphoricons::ph("x-circle"),
i18n$t("Cancel")
phosphoricons::ph("trash")
),
class = "btn-outline-danger",
width = "100%"
@ -536,7 +535,9 @@ create_column_server <- function(id,
info_alert <- shinyWidgets::alert(
status = "info",
phosphoricons::ph("question"),
i18n$t("Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.")
i18n$t("Choose a name for the column to be created or modified,"),
i18n$t("then enter an expression before clicking on the button above to validate or on "),
phosphoricons::ph("trash"), i18n$t("to delete it.")
)
rv <- reactiveValues(
@ -638,7 +639,6 @@ list_allowed_operations <- function() {
}
#' @inheritParams shiny::modalDialog
#' @export
#'
@ -3093,7 +3093,7 @@ describe_col_factor <- function(x, with_summary = TRUE) {
style = htmltools::css(fontStyle = "italic"),
get_var_icon(x),
# phosphoricons::ph("list-bullets"),
class(x)
"factor"
),
if (with_summary) {
tagList(
@ -3246,7 +3246,7 @@ construct_col_summary <- function(data) {
values <- data[[col]]
content <- if (inherits(values, "character")) {
describe_col_char(values)
} else if (inherits(values, c("factor","logical"))) {
} else if (inherits(values, "factor")) {
describe_col_factor(values)
} else if (inherits(values, c("numeric", "integer"))) {
describe_col_num(values)
@ -4035,7 +4035,7 @@ data_types <- function() {
#### Current file: /Users/au301842/FreesearchR/R//hosted_version.R
########
hosted_version <- function()'v25.10.3-251008'
hosted_version <- function()'v25.10.2-251007'
########
@ -4133,7 +4133,7 @@ import_globalenv_ui <- function(id,
id = ns("import-result"),
status = "info",
tags$b(i18n$t("No data selected!")),
i18n$t("Use a dataset from your environment or from the environment of a package."),
i18n$t("Use a datasat from your environment or from the environment of a package."),
dismissible = TRUE
)
),
@ -4210,9 +4210,7 @@ import_globalenv_server <- function(id,
selected = character(0),
choices = choices,
choicesOpt = choicesOpt,
options = list(
title = i18n$t("List of datasets..."),
"live-search" = TRUE)
options = list(title = i18n$t("List of datasets..."))
)
})
@ -4221,7 +4219,7 @@ import_globalenv_server <- function(id,
id = "import-result",
status = "info",
tags$b(i18n$t("No data selected!")),
i18n$t("Use a dataset from your environment or from the environment of a package."),
i18n$t("Use a datasat from your environment or from the environment of a package."),
dismissible = TRUE
)
)
@ -5313,7 +5311,7 @@ plot_box <- function(data, pri, sec, ter = NULL,...) {
)
})
wrap_plot_list(out,title=glue::glue(i18n$t("Grouped by {get_label(data,ter)}")),...)
wrap_plot_list(out,title=glue::glue("Grouped by {get_label(data,ter)}"),...)
}
@ -5971,7 +5969,7 @@ plot_violin <- function(data, pri, sec, ter = NULL) {
)
})
wrap_plot_list(out, title = glue::glue(i18n$t("Grouped by {get_label(data,ter)}")))
wrap_plot_list(out, title = glue::glue("Grouped by {get_label(data,ter)}"))
})
# patchwork::wrap_plots(out,guides = "collect")
}
@ -6090,6 +6088,12 @@ m_redcap_readUI <- function(id, title = TRUE, url = NULL) {
width = "100%"
),
shiny::helpText(i18n$t("Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'")),
# shiny::textInput(
# inputId = ns("api"),
# label = "API token",
# value = "",
# width = "100%"
# ),
shiny::passwordInput(
inputId = ns("api"),
label = i18n$t("API token"),
@ -6113,7 +6117,7 @@ m_redcap_readUI <- function(id, title = TRUE, url = NULL) {
shinyWidgets::alert(
id = ns("connect-result"),
status = "info",
tags$p(phosphoricons::ph("info", weight = "bold"), i18n$t("Please fill in web address and API token, then press 'Connect'."))
tags$p(phosphoricons::ph("info", weight = "bold"), "Please fill in server address (URI) and API token, then press 'Connect'.")
),
dismissible = TRUE
),
@ -7790,18 +7794,18 @@ regression_ui <- function(id, ...) {
# )
# ),
shiny::uiOutput(outputId = ns("regression_type")),
# shiny::radioButtons(
# inputId = ns("all"),
# label = i18n$t("Specify covariables"),
# inline = TRUE,
# selected = 2,
# choiceNames = c(
# "Yes",
# "No"
# ),
# choiceValues = c(1, 2)
# ),
shiny::uiOutput(outputId = ns("all_vars")),
shiny::radioButtons(
inputId = ns("all"),
label = i18n$t("Specify covariables"),
inline = TRUE,
selected = 2,
choiceNames = c(
"Yes",
"No"
),
choiceValues = c(1, 2)
),
# shiny::uiOutput(outputId = ns("all")),
shiny::conditionalPanel(
condition = "input.all==1",
shiny::uiOutput(outputId = ns("regression_vars")),
@ -7823,7 +7827,17 @@ regression_ui <- function(id, ...) {
),
shiny::helpText(i18n$t("Press 'Analyse' to create the regression model and after changing parameters.")),
shiny::tags$br(),
shiny::uiOutput(outputId = ns("add_regression_p")),
shiny::radioButtons(
inputId = ns("add_regression_p"),
label = i18n$t("Show p-value"),
inline = TRUE,
selected = "yes",
choiceNames = c(
"Yes",
"No"
),
choiceValues = c("yes", "no")
),
# shiny::tags$br(),
# shiny::radioButtons(
# inputId = ns("tbl_theme"),
@ -7971,32 +7985,20 @@ regression_server <- function(id,
bslib::accordion_panel_update(id = "acc_checks", target = "acc_pan_checks", title = i18n$t("Checks"))
})
output$all_vars <- shiny::renderUI(
shiny::radioButtons(
inputId = ns("all"),
label = i18n$t("Specify covariables"),
inline = TRUE,
selected = 2,
choiceNames = c(
i18n$t("Yes"),
i18n$t("No")
),
choiceValues = c(1, 2)
),
)
output$add_regression_p <- shiny::renderUI(
shiny::radioButtons(
inputId = ns("add_regression_p"),
label = i18n$t("Show p-value"),
inline = TRUE,
selected = "yes",
choiceNames = c(
i18n$t("Yes"),
i18n$t("No")
),
choiceValues = c("yes", "no")
))
# shiny::observe({
# shiny::updateRadioButtons(
# session = session,
# inputId = "all",
# label = i18n$t("Specify covariables"),
# # inline = TRUE,
# # selected = 2,
# choiceNames = c(
# i18n$t("Yes"),
# i18n$t("No")
# ),
# choiceValues = c(1, 2)
# )
# })
@ -8794,7 +8796,7 @@ ui_elements <- function(selection) {
import_globalenv_ui(
id = "env",
title = NULL,
packages = c("NHANES", "stRoke", "datasets")
packages = c("NHANES", "stRoke")
)
),
# shiny::conditionalPanel(
@ -9025,7 +9027,6 @@ ui_elements <- function(selection) {
),
shiny::tags$br(),
shiny::helpText(i18n$t("Reset to original imported dataset. Careful! There is no un-doing.")),
shiny::tags$br(),
shiny::tags$br()
)
# )
@ -9138,7 +9139,7 @@ ui_elements <- function(selection) {
title = "Settings",
icon = bsicons::bs_icon("x-circle"),
shiny::uiOutput("missings_var"),
shiny::helpText(i18n$t("To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random."))
shiny::helpText(i18n$t("To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not."))
)
)
),
@ -11458,8 +11459,7 @@ ui <- bslib::page_fixed(
#### Current file: /Users/au301842/FreesearchR/app/server.R
########
data("mtcars")
data("iris")
data(mtcars)
# trial <- gtsummary::trial
# starwars <- dplyr::starwars
@ -11739,7 +11739,7 @@ server <- function(input, output, session) {
)
},
error = function(err) {
showNotification(paste(i18n$t("We encountered the following error showing missingness:"), err), type = "err")
showNotification(paste0("We encountered the following error showing missingness: ", err), type = "err")
}
)
})
@ -12176,7 +12176,7 @@ server <- function(input, output, session) {
show_data(REDCapCAST::fct_drop(rv$data_filtered), title = i18n$t("Uploaded data overview"), type = "modal")
},
error = function(err) {
showNotification(paste(i18n$t("We encountered the following error browsing your data:"), err), type = "err")
showNotification(paste0("We encountered the following error browsing your data: ", err), type = "err")
}
)
})
@ -12200,7 +12200,7 @@ server <- function(input, output, session) {
)
},
error = function(err) {
showNotification(paste(i18n$t("We encountered the following error showing missingness:"), err), type = "err")
showNotification(paste0("We encountered the following error showing missingness: ", err), type = "err")
}
)
})
@ -12247,12 +12247,12 @@ server <- function(input, output, session) {
output$code_import <- shiny::renderUI({
shiny::req(rv$code$import)
prismCodeBlock(paste0("#", i18n$t("Data import"), "\n", rv$code$import))
prismCodeBlock(paste0(i18n$t("#Data import\n"), rv$code$import))
})
output$code_format <- shiny::renderUI({
shiny::req(rv$code$format)
prismCodeBlock(paste0("#", i18n$t("Data import formatting"), "\n", rv$code$format))
prismCodeBlock(paste0(i18n$t("#Data import formatting\n"), rv$code$format))
})
output$code_data <- shiny::renderUI({
@ -12270,23 +12270,23 @@ server <- function(input, output, session) {
pipe_string() |>
expression_string(assign.str = "df <- df |>\n")
prismCodeBlock(paste0("#", i18n$t("Data modifications"), "\n", out))
prismCodeBlock(paste0("#Data modifications\n", out))
})
output$code_variables <- shiny::renderUI({
shiny::req(rv$code$variables)
out <- expression_string(rv$code$variables, assign.str = "df <- df |>\n")
prismCodeBlock(paste0("#", i18n$t("Variables filter"), "\n", out))
prismCodeBlock(paste0("#Variables filter\n", out))
})
output$code_filter <- shiny::renderUI({
shiny::req(rv$code$filter)
prismCodeBlock(paste0("#", i18n$t("Data filter"), "\n", rv$code$filter))
prismCodeBlock(paste0("#Data filter\n", rv$code$filter))
})
output$code_table1 <- shiny::renderUI({
shiny::req(rv$code$table1)
prismCodeBlock(paste0("#", i18n$t("Data characteristics table"), "\n", rv$code$table1))
prismCodeBlock(paste0("#Data characteristics table\n", rv$code$table1))
})
@ -12330,7 +12330,7 @@ server <- function(input, output, session) {
output$data_info_nochar <- shiny::renderUI({
shiny::req(rv$list$data)
data_description(rv$list$data, data_text = i18n$t("The dataset without text variables"))
data_description(rv$list$data, data_text = "The dataset without text variables")
})
## Only allow evaluation if the dataset has fewer then 50 variables
@ -12369,7 +12369,7 @@ server <- function(input, output, session) {
# # stop(glue::glue(i18n$t("The data includes {n_col} variables. Please limit to 100.")))
# print("Please limit to 100.")
# } else {
shiny::withProgress(message = i18n$t("Creating the table. Hold on for a moment.."), {
shiny::withProgress(message = "Creating the table. Hold on for a moment..", {
rv$list$table1 <- rlang::exec(create_baseline, !!!append_list(rv$list$data, parameters, "data"))
})
# }
@ -12399,7 +12399,7 @@ server <- function(input, output, session) {
inputId = "outcome_var_cor",
selected = "none",
data = rv$list$data,
label = i18n$t("Select outcome variable"),
label = "Select outcome variable",
col_subset = c(
"none",
colnames(rv$list$data)
@ -12425,7 +12425,7 @@ server <- function(input, output, session) {
output$missings_var <- shiny::renderUI({
columnSelectInput(
inputId = "missings_var",
label = i18n$t("Select variable to stratify analysis"),
label = "Select variable to stratify analysis",
data = shiny::reactive({
shiny::req(rv$data_filtered)
rv$data_filtered[apply(rv$data_filtered, 2, anyNA)]
@ -12523,7 +12523,7 @@ server <- function(input, output, session) {
rv$list$regression <- rv$regression()
rv$list$missings <- rv$missings()
shiny::withProgress(message = i18n$t("Generating the report. Hold on for a moment.."), {
shiny::withProgress(message = "Generating the report. Hold on for a moment..", {
tryCatch(
{
rv$list |>

View file

@ -8,10 +8,6 @@ a free tool for basic data evaluation and analysis. If you need more
advanced tools, start with <strong><em>FreesearchR</em></strong> and
then youll probably be better off using <em>R</em> or similar
directly.</p>
<p>The <strong><em>FreesearchR</em></strong> app should be available to
as many people as possible, and the interface can be translated to any
language. If you have suggestions or want to help translate, please
reach out on <a href="mailto:info@freesearchr.org">info@freesearchr.org</a>.</p>
<p>With this tool you can:</p>
<ol style="list-style-type: decimal">
<li><p><strong>Import data</strong> from a spreadsheet/file on your

View file

@ -6,8 +6,6 @@ output: html_fragment
This is the ***FreesearchR*** data analysis tool, a free tool for basic data evaluation and analysis. If you need more advanced tools, start with ***FreesearchR*** and then you'll probably be better off using *R* or similar directly.
The ***FreesearchR*** app should be available to as many people as possible, and the interface can be translated to any language. If you have suggestions or want to help translate, please reach out on [info@freesearchr.org](mailto:info@freesearchr.org).
With this tool you can:
1. **Import data** from a spreadsheet/file on your machine, directly from a [REDCap](https://projectredcap.org/ "Read more on the data capture tool REDCap") server, try it with sample data or access data directly [if run in R locally](https://agdamsbo.github.io/FreesearchR//#run-locally-on-your-own-machine "Read about running FreesearchR on your local machine")

View file

@ -20,18 +20,18 @@ eksempel-data eller tilgå data direkte <a href="https://agdamsbo.github.io/Free
afvikler i R lokalt</a></p></li>
<li><p><strong>Forbered</strong> data til analys ved at filtrere, ændre
variabler eller opret helt nye variabler</p></li>
<li><p><strong>Evaluer data</strong> ved hjælp af beskrivende
analysemetoder og inspicer krydskorrelationer samt <a href="https://agdamsbo.github.io/FreesearchR/articles/missingness.html" title="Læs mere om manglende data">manglende observationer</a></p></li>
<li><p><strong>Visualiser data</strong> ved at <a href="https://agdamsbo.github.io/FreesearchR/articles/visuals.html" title="Se tilgængelige plottyper">oprette enkle, rene plots</a> for
overblik og hurtig indsigt</p></li>
<li><p><strong>Opret simple regressionsmodeller</strong> til endnu mere
avancerede dataanalyser</p></li>
<li><p><strong>Download</strong> resultater som en rapport, hent det
ændrede datasæt og gem koden til læring og til senere reproduktion af
resultaterne</p></li>
<li><p><strong>Evaluate data</strong> using descriptive analyses methods
and inspect cross-correlations as well as <a href="https://agdamsbo.github.io/FreesearchR/articles/missingness.html" title="Read more about missing data">missing observations</a></p></li>
<li><p><strong>Visualise data</strong> by <a href="https://agdamsbo.github.io/FreesearchR/articles/visuals.html" title="See available plot types">creating simple, clean plots</a> for
overview and quick insights</p></li>
<li><p><strong>Create simple regression models</strong> for even more
advanced data analyses</p></li>
<li><p><strong>Download</strong> results as a report, get the modified
data set and save the code for learning and to reproduce the results
later</p></li>
</ol>
<p>Den fulde <a href="https://agdamsbo.github.io/FreesearchR/">projektdokumentation er
her</a>, hvor du finder detaljerede beskrivelser af appen og et link til
kildekoden! Hvis du vil <a href="https://redcap.au.dk/surveys/?s=JPCLPTXYDKFA8DA8">dele feedback,
kan du følge dette link til et enkelt spørgeskema</a>.</p>
<p>The full <a href="https://agdamsbo.github.io/FreesearchR/">project
documentation is here</a> where youll find detailed descriptions of the
app and link to the source code! If you want to <a href="https://redcap.au.dk/surveys/?s=JPCLPTXYDKFA8DA8">share feedback,
please follow this link to a simple survey</a>.</p>
</div>

View file

@ -14,12 +14,12 @@ Herunder kan du helt kort se, hvad du kan bruge ***FreesearchR*** til:
2. **Forbered** data til analys ved at filtrere, ændre variabler eller opret helt nye variabler
3. **Evaluer data** ved hjælp af beskrivende analysemetoder og inspicer krydskorrelationer samt [manglende observationer](https://agdamsbo.github.io/FreesearchR/articles/missingness.html "Læs mere om manglende data")
3. **Evaluate data** using descriptive analyses methods and inspect cross-correlations as well as [missing observations](https://agdamsbo.github.io/FreesearchR/articles/missingness.html "Read more about missing data")
4. **Visualiser data** ved at [oprette enkle, rene plots](https://agdamsbo.github.io/FreesearchR/articles/visuals.html "Se tilgængelige plottyper") for overblik og hurtig indsigt
4. **Visualise data** by [creating simple, clean plots](https://agdamsbo.github.io/FreesearchR/articles/visuals.html "See available plot types") for overview and quick insights
5. **Opret simple regressionsmodeller** til endnu mere avancerede dataanalyser
5. **Create simple regression models** for even more advanced data analyses
6. **Download** resultater som en rapport, hent det ændrede datasæt og gem koden til læring og til senere reproduktion af resultaterne
6. **Download** results as a report, get the modified data set and save the code for learning and to reproduce the results later
Den fulde [projektdokumentation er her](https://agdamsbo.github.io/FreesearchR/), hvor du finder detaljerede beskrivelser af appen og et link til kildekoden! Hvis du vil [dele feedback, kan du følge dette link til et enkelt spørgeskema](https://redcap.au.dk/surveys/?s=JPCLPTXYDKFA8DA8).
The full [project documentation is here](https://agdamsbo.github.io/FreesearchR/) where you'll find detailed descriptions of the app and link to the source code! If you want to [share feedback, please follow this link to a simple survey](https://redcap.au.dk/surveys/?s=JPCLPTXYDKFA8DA8).

File diff suppressed because one or more lines are too long

View file

@ -2,7 +2,7 @@
output: html_fragment
---
# Karibu sana! <img src="FreesearchR-logo.png" style="float: right;"/>
# Karibu <img src="FreesearchR-logo.png" style="float: right;"/>
Hii ni ***FreesearchR*** zana ya kuchanganua data, zana isiyolipishwa ya kutathmini na kuchanganua data msingi. Iwapo unahitaji zana za kina zaidi, anza na ***FreesearchR*** na basi pengine utakuwa bora kutumia *R* au sawa moja kwa moja.
@ -10,16 +10,16 @@ Tunajitahidi kutambulisha tafsiri kamili kwa Kiswahili. Ikiwa ungependa kuchangi
Na ***FreesearchR*** unaweza:
1. **Ingiza data** kutoka kwa lahajedwali/faili kwenye mashine yako, moja kwa moja kutoka kwa seva ya [REDCap](https://projectredcap.org/ "Soma zaidi kuhusu zana ya kunasa data ya REDCap"), ijaribu kwa sampuli ya data au ufikie data moja kwa moja [ikiwa inaendeshwa katika R ndani ya nchi](https://agdamsbo.github.io/Freesearchourcal-R/-#ownon-run-your-ruwnon-" FreesearchR kwenye mashine yako ya karibu")
1. **Import data** from a spreadsheet/file on your machine, directly from a [REDCap](https://projectredcap.org/ "Read more on the data capture tool REDCap") server, try it with sample data or access data directly [if run in R locally](https://agdamsbo.github.io/FreesearchR//#run-locally-on-your-own-machine "Read about running FreesearchR on your local machine")
2. **Andaa** data kwa uchanganuzi kwa kuchuja data, kurekebisha vigeu au kuunda vigeu vipya
2. **Prepare** data for analysis by filtering data, modifying variables or create new variables
3. **Tathmini data** kwa kutumia mbinu za uchanganuzi wa maelezo na ukague miunganisho mtambuka pamoja na [maoni yanayokosekana](https://agdamsbo.github.io/FreesearchR/articles/missingness.html "Soma zaidi kuhusu kukosa data")
3. **Evaluate data** using descriptive analyses methods and inspect cross-correlations as well as [missing observations](https://agdamsbo.github.io/FreesearchR/articles/missingness.html "Read more about missing data")
4. **Onyesha data** kwa [kuunda viwanja rahisi na safi](https://agdamsbo.github.io/FreesearchR/articles/visuals.html "Angalia aina zinazopatikana za viwanja") kwa muhtasari na maarifa ya haraka
4. **Visualise data** by [creating simple, clean plots](https://agdamsbo.github.io/FreesearchR/articles/visuals.html "See available plot types") for overview and quick insights
5. **Unda miundo rahisi ya kurejesha kumbukumbu** kwa uchanganuzi wa hali ya juu zaidi wa data
5. **Create simple regression models** for even more advanced data analyses
6. **Pakua** matokeo kama ripoti, pata seti ya data iliyorekebishwa na uhifadhi msimbo wa kujifunza na kutoa matokeo baadaye
6. **Download** results as a report, get the modified data set and save the code for learning and to reproduce the results later
[Hati kamili za mradi ziko hapa](https://agdamsbo.github.io/FreesearchR/) ambapo utapata maelezo ya kina ya programu na kiungo cha msimbo wa chanzo! Iwapo ungependa [kushiriki maoni, tafadhali fuata kiungo hiki cha utafiti rahisi](https://redcap.au.dk/surveys/?s=JPCLPTXYDKFA8DA8).
The full [project documentation is here](https://agdamsbo.github.io/FreesearchR/) where you'll find detailed descriptions of the app and link to the source code! If you want to [share feedback, please follow this link to a simple survey](https://redcap.au.dk/surveys/?s=JPCLPTXYDKFA8DA8).

View file

@ -44,6 +44,9 @@
"Enter an expression to define new column:","Indtast udregningen til at definere en ny variabel:"
"Click on a column name to add it to the expression:","Tryk på et variabel navn for at tilføje det til udregningen:"
"Create column","Opret variabel"
"Choose a name for the column to be created or modified,","Vælg et navn til den ændrede eller nye variabel,"
"then enter an expression before clicking on the button above to validate or on","indtast herefter udregningen før du trykker på knappen ovenfor for at validere eller på"
"to delete it.","for at slette den."
"New column name cannot be empty","Det nye variabelnavn kan ikke være tomt"
"Create a new column","Opret ny variabel"
"Some operations are not allowed","Nogle beregninger er ikke tilladte"
@ -168,6 +171,7 @@
"Correlation cut-off","Korrelationsgrænse"
"Set the cut-off for considered 'highly correlated'.","Angiv grænsen for. hvad, der tolkes som 'betydelig korrelation'."
"Missings","Manglende observationer"
"To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not.","To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not."
"Class","Klasse"
"Observations","Observationer"
"Data classes and missing observations","Dataklasser og manglende observationer"
@ -176,11 +180,13 @@
"Confirm","Bekræft"
"The filtered data","Filtreret data"
"Create new factor","Ny kategorisk variabel"
"This window is aimed at advanced users and require some *R*-experience!","Dette vindue er primært for avancerede brugere med nogen *R*-erfaring!"
"Create new variables","Opret nye variabler"
"This window is aimed at advanced users and require some *R*-experience!","This window is aimed at advanced users and require some *R*-experience!"
"Create new variables","Opret ny variabel"
"Select data types to include","Vælg datatyper, der skal inkluderes"
"Uploaded data overview","Overblik over uploaded data"
"Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.","Her har du en oversigt over hvordan data er blevet formateret, og hvor der er manglende observationer. Brug informationen til at overveje om manglende data mangler tilfældigt eller og der er et mønster, som kan være et udtryk for systematisk manglende data (observationsbias)."
"Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.","Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias."
"#Data import\n","#Data import\n"
"#Data import formatting\n","#Formatering ved data-import\n"
"Specify covariables","Angiv kovariabler"
"If none are selected, all are included.","Hvis ingen er valgt inkluderes alle."
"Analyse","Analysér"
@ -191,67 +197,53 @@
"Please confirm data reset!","Bekræft gendannelse af data!"
"Import data from REDCap","Importér data fra REDCap"
"REDCap server","REDCap-server"
"Web address","Serveradresse"
"Web address","Web address"
"Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'","Adressen skal være som 'https://redcap.your.institution/' eller 'https://your.institution/redcap/'"
"API token","API-nøgle"
"API token","API token"
"The token is a string of 32 numbers and letters.","En API-nøgle består af ialt 32 tal og bogstaver."
"Connect","Forbind"
"Data import parameters","Data import parameters"
"Select fields/variables to import and click the funnel to apply optional filters","Vælg variabler, der skal importeres og tryk på tragten for at anvende valgfrie filtre"
"Select fields/variables to import and click the funnel to apply optional filters","Select fields/variables to import and click the funnel to apply optional filters"
"Import","Import"
"Click to see data dictionary","Tryk for at se metadata (Data Dictionary)"
"Connected to server!","Forbindelse til serveren oprettet!"
"The {data_rv$info$project_title} project is loaded.","{data_rv$info$project_title}-projektet er forbundet."
"Click to see data dictionary","Click to see data dictionary"
"Connected to server!","Connected to server!"
"The {data_rv$info$project_title} project is loaded.","The {data_rv$info$project_title} project is loaded."
"Data dictionary","Data dictionary"
"Preview:","Forsmag:"
"Imported data set","Importeret datasæt"
"Select fields/variables to import:","Vælg variabler, der skal importeres:"
"Specify the data format","Specificér dataformatet"
"Fill missing values?","Skal manglende observationer udfyldes?"
"Requested data was retrieved!","Det udvalgte data blev hentet!"
"Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data er hentet, men det ser ud til kun at indeholde ID-variablen. Du skal kontakte din REDCap-administrator og sikre dig at du har adgang til faktisk at hente de udvalgte data."
"Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data er hentet, men det ser ud til kun at indeholde nogle af de udvalgte variabler. Du skal kontakte din REDCap-administrator og sikre dig at du har adgang til faktisk at hente de udvalgte data."
"Click to see the imported data","Tryk for at se de importerede data"
"Regression table","Regressionstabel"
"Import a dataset from an environment","Importer et datasæt fra et kodemiljø"
"Preview:","Preview:"
"Imported data set","Imported data set"
"Select fields/variables to import:","Select fields/variables to import:"
"Specify the data format","Specify the data format"
"Fill missing values?","Fill missing values?"
"Requested data was retrieved!","Requested data was retrieved!"
"Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access."
"Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access."
"Click to see the imported data","Click to see the imported data"
"Regression table","Regression table"
"Import a dataset from an environment","Import a dataset from an environment"
"Select a dataset:","Vælg datasæt:"
"List of datasets...","Liste af datasæt..."
"List of datasets...","List of datasets..."
"No data selected!","Ingen data valgt!"
"Use a datasat from your environment or from the environment of a package.","Use a datasat from your environment or from the environment of a package."
"No dataset here...","Ingen datasæt her..."
"Use a dataset from your environment or from the environment of a package.","Brug et datasæt fra dit lokale kodemiljø eller fra en tilgængelig pakke."
"Use a dataset from your environment or from the environment of a package.","Use a dataset from your environment or from the environment of a package."
"Not a data.frame","Ikke en data.frame"
"Select source","Vælg datakilde"
"Select a data source:","Vælg datakilde:"
"Yes","Ja"
"No","Nej"
"Coefficient plot","Koefficientplot"
"Select outcome variable","Vælg svarvariablen"
"Choose regression analysis","Vælg regressionsanalysen"
"Covariables to format as categorical","Kovariabler, der skal omklassificeres som kategoriske"
"Select variable to stratify baseline","Vælg variabel til a stratificere tabellen"
"Select models to plot","Vælg de modeller, der skal visualiseres"
"Creating regression models failed with the following error:","Oprettelsen af en regressionsmodel fejlede med den følgende besked:"
"Creating a regression table failed with the following error:","Oprettelsen af en regressionstabel fejlede med den følgende besked:"
"Saving the plot. Hold on for a moment..","Gemmer grafikken. Vent et øjeblik.."
"Running model assumptions checks failed with the following error:","Tjek af antagelser for regressionsmodellen fejlede med den følgende besked:"
"Select checks to plot","Vælg modeltests, der skal visualiseres"
"Multivariable regression model checks","Tests af multivariabel regressionsmodel"
"Grouped by {get_label(data,ter)}","Grupperet efter {get_label(data,ter)}"
"Option to perform statistical comparisons between strata in baseline table.","Mulighed for at udføre statistiske tests mellem strata i oversigtstabellen."
"Press 'Evaluate' to create the comparison table.","Tryk 'Evaluér' for at oprette en oversigtstabel."
"The data includes {n_col} variables. Please limit to 100.","Data indeholder {n_col} variabler. Begræns venligst til 100."
"Data import","Data import"
"Data import formatting","Formatering af data ved import"
"Data modifications","Ændringer af data"
"Variables filter","Variables filter"
"Data filter","Data filter"
"Data characteristics table","Oversigtstabel"
"The dataset without text variables","Datasættet uden variabler formateret som tekst"
"Creating the table. Hold on for a moment..","Opretter tabellen. Vent et øjeblik.."
"Select variable to stratify analysis","Vælg variabler til at stratificere analysen"
"Generating the report. Hold on for a moment..","Opretter rapporten. Vent et øjeblik.."
"We encountered the following error showing missingness:","Under analysen af manglende observationer opstod følgende fejl:"
"We encountered the following error browsing your data:","I forsøget på at vise en dataoversigt opstod følgende fejl:"
"To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random.","Vælg svarvariablen, for at få hjælp til at vurdere om manglende observationer manglende tilfældigt eller ej (kun variabler med manglende data kan vælges). Hvis der er statistisk signifikant forskel mellem nogle af de øvrige variabler i forhold til manglende data i den valgte variable kan det være et udtryk for at data ikke mangler tilfældigt."
"Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.","Vælg et navn til den nye variabel, skriv din formel og tryk så på knappen for at gemme variablen, eller annuler for at lukke uden at gemme."
"Please fill in web address and API token, then press 'Connect'.","Udfyld serveradresse og API-nøgle, og tryk så 'Fobind'."
"Coefficient plot","Coefficient plot"
"Select outcome variable","Select outcome variable"
"Choose regression analysis","Choose regression analysis"
"Covariables to format as categorical","Covariables to format as categorical"
"Select variable to stratify baseline","Select variable to stratify baseline"
"Select models to plot","Select models to plot"
"Creating regression models failed with the following error:","Creating regression models failed with the following error:"
"Creating a regression table failed with the following error:","Creating a regression table failed with the following error:"
"Saving the plot. Hold on for a moment..","Saving the plot. Hold on for a moment.."
"Running model assumptions checks failed with the following error:","Running model assumptions checks failed with the following error:"
"Select checks to plot","Select checks to plot"
"Multivariable regression model checks","Multivariable regression model checks"
"Grouped by {get_label(data,ter)}","Grouped by {get_label(data,ter)}"
"Option to perform statistical comparisons between strata in baseline table.","Option to perform statistical comparisons between strata in baseline table."
"Press 'Evaluate' to create the comparison table.","Press 'Evaluate' to create the comparison table."
"The data includes {n_col} variables. Please limit to 100.","The data includes {n_col} variables. Please limit to 100."

1 en da
44 Enter an expression to define new column: Indtast udregningen til at definere en ny variabel:
45 Click on a column name to add it to the expression: Tryk på et variabel navn for at tilføje det til udregningen:
46 Create column Opret variabel
47 Choose a name for the column to be created or modified, Vælg et navn til den ændrede eller nye variabel,
48 then enter an expression before clicking on the button above to validate or on indtast herefter udregningen før du trykker på knappen ovenfor for at validere eller på
49 to delete it. for at slette den.
50 New column name cannot be empty Det nye variabelnavn kan ikke være tomt
51 Create a new column Opret ny variabel
52 Some operations are not allowed Nogle beregninger er ikke tilladte
171 Correlation cut-off Korrelationsgrænse
172 Set the cut-off for considered 'highly correlated'. Angiv grænsen for. hvad, der tolkes som 'betydelig korrelation'.
173 Missings Manglende observationer
174 To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not. To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not.
175 Class Klasse
176 Observations Observationer
177 Data classes and missing observations Dataklasser og manglende observationer
180 Confirm Bekræft
181 The filtered data Filtreret data
182 Create new factor Ny kategorisk variabel
183 This window is aimed at advanced users and require some *R*-experience! Dette vindue er primært for avancerede brugere med nogen *R*-erfaring! This window is aimed at advanced users and require some *R*-experience!
184 Create new variables Opret nye variabler Opret ny variabel
185 Select data types to include Vælg datatyper, der skal inkluderes
186 Uploaded data overview Overblik over uploaded data
187 Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias. Her har du en oversigt over hvordan data er blevet formateret, og hvor der er manglende observationer. Brug informationen til at overveje om manglende data mangler tilfældigt eller og der er et mønster, som kan være et udtryk for systematisk manglende data (observationsbias). Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.
188 #Data import\n #Data import\n
189 #Data import formatting\n #Formatering ved data-import\n
190 Specify covariables Angiv kovariabler
191 If none are selected, all are included. Hvis ingen er valgt inkluderes alle.
192 Analyse Analysér
197 Please confirm data reset! Bekræft gendannelse af data!
198 Import data from REDCap Importér data fra REDCap
199 REDCap server REDCap-server
200 Web address Serveradresse Web address
201 Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/' Adressen skal være som 'https://redcap.your.institution/' eller 'https://your.institution/redcap/'
202 API token API-nøgle API token
203 The token is a string of 32 numbers and letters. En API-nøgle består af ialt 32 tal og bogstaver.
204 Connect Forbind
205 Data import parameters Data import parameters
206 Select fields/variables to import and click the funnel to apply optional filters Vælg variabler, der skal importeres og tryk på tragten for at anvende valgfrie filtre Select fields/variables to import and click the funnel to apply optional filters
207 Import Import
208 Click to see data dictionary Tryk for at se metadata (Data Dictionary) Click to see data dictionary
209 Connected to server! Forbindelse til serveren oprettet! Connected to server!
210 The {data_rv$info$project_title} project is loaded. {data_rv$info$project_title}-projektet er forbundet. The {data_rv$info$project_title} project is loaded.
211 Data dictionary Data dictionary
212 Preview: Forsmag: Preview:
213 Imported data set Importeret datasæt Imported data set
214 Select fields/variables to import: Vælg variabler, der skal importeres: Select fields/variables to import:
215 Specify the data format Specificér dataformatet Specify the data format
216 Fill missing values? Skal manglende observationer udfyldes? Fill missing values?
217 Requested data was retrieved! Det udvalgte data blev hentet! Requested data was retrieved!
218 Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access. Data er hentet, men det ser ud til kun at indeholde ID-variablen. Du skal kontakte din REDCap-administrator og sikre dig at du har adgang til faktisk at hente de udvalgte data. Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.
219 Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access. Data er hentet, men det ser ud til kun at indeholde nogle af de udvalgte variabler. Du skal kontakte din REDCap-administrator og sikre dig at du har adgang til faktisk at hente de udvalgte data. Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.
220 Click to see the imported data Tryk for at se de importerede data Click to see the imported data
221 Regression table Regressionstabel Regression table
222 Import a dataset from an environment Importer et datasæt fra et kodemiljø Import a dataset from an environment
223 Select a dataset: Vælg datasæt:
224 List of datasets... Liste af datasæt... List of datasets...
225 No data selected! Ingen data valgt!
226 Use a datasat from your environment or from the environment of a package. Use a datasat from your environment or from the environment of a package.
227 No dataset here... Ingen datasæt her...
228 Use a dataset from your environment or from the environment of a package. Brug et datasæt fra dit lokale kodemiljø eller fra en tilgængelig pakke. Use a dataset from your environment or from the environment of a package.
229 Not a data.frame Ikke en data.frame
230 Select source Vælg datakilde
231 Select a data source: Vælg datakilde:
232 Yes Ja
233 No Nej
234 Coefficient plot Koefficientplot Coefficient plot
235 Select outcome variable Vælg svarvariablen Select outcome variable
236 Choose regression analysis Vælg regressionsanalysen Choose regression analysis
237 Covariables to format as categorical Kovariabler, der skal omklassificeres som kategoriske Covariables to format as categorical
238 Select variable to stratify baseline Vælg variabel til a stratificere tabellen Select variable to stratify baseline
239 Select models to plot Vælg de modeller, der skal visualiseres Select models to plot
240 Creating regression models failed with the following error: Oprettelsen af en regressionsmodel fejlede med den følgende besked: Creating regression models failed with the following error:
241 Creating a regression table failed with the following error: Oprettelsen af en regressionstabel fejlede med den følgende besked: Creating a regression table failed with the following error:
242 Saving the plot. Hold on for a moment.. Gemmer grafikken. Vent et øjeblik.. Saving the plot. Hold on for a moment..
243 Running model assumptions checks failed with the following error: Tjek af antagelser for regressionsmodellen fejlede med den følgende besked: Running model assumptions checks failed with the following error:
244 Select checks to plot Vælg modeltests, der skal visualiseres Select checks to plot
245 Multivariable regression model checks Tests af multivariabel regressionsmodel Multivariable regression model checks
246 Grouped by {get_label(data,ter)} Grupperet efter {get_label(data,ter)} Grouped by {get_label(data,ter)}
247 Option to perform statistical comparisons between strata in baseline table. Mulighed for at udføre statistiske tests mellem strata i oversigtstabellen. Option to perform statistical comparisons between strata in baseline table.
248 Press 'Evaluate' to create the comparison table. Tryk 'Evaluér' for at oprette en oversigtstabel. Press 'Evaluate' to create the comparison table.
249 The data includes {n_col} variables. Please limit to 100. Data indeholder {n_col} variabler. Begræns venligst til 100. The data includes {n_col} variables. Please limit to 100.
Data import Data import
Data import formatting Formatering af data ved import
Data modifications Ændringer af data
Variables filter Variables filter
Data filter Data filter
Data characteristics table Oversigtstabel
The dataset without text variables Datasættet uden variabler formateret som tekst
Creating the table. Hold on for a moment.. Opretter tabellen. Vent et øjeblik..
Select variable to stratify analysis Vælg variabler til at stratificere analysen
Generating the report. Hold on for a moment.. Opretter rapporten. Vent et øjeblik..
We encountered the following error showing missingness: Under analysen af manglende observationer opstod følgende fejl:
We encountered the following error browsing your data: I forsøget på at vise en dataoversigt opstod følgende fejl:
To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random. Vælg svarvariablen, for at få hjælp til at vurdere om manglende observationer manglende tilfældigt eller ej (kun variabler med manglende data kan vælges). Hvis der er statistisk signifikant forskel mellem nogle af de øvrige variabler i forhold til manglende data i den valgte variable kan det være et udtryk for at data ikke mangler tilfældigt.
Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything. Vælg et navn til den nye variabel, skriv din formel og tryk så på knappen for at gemme variablen, eller annuler for at lukke uden at gemme.
Please fill in web address and API token, then press 'Connect'. Udfyld serveradresse og API-nøgle, og tryk så 'Fobind'.

View file

@ -44,6 +44,9 @@
"Enter an expression to define new column:","Enter an expression to define new column:"
"Click on a column name to add it to the expression:","Click on a column name to add it to the expression:"
"Create column","Create column"
"Choose a name for the column to be created or modified,","Choose a name for the column to be created or modified,"
"then enter an expression before clicking on the button above to validate or on","then enter an expression before clicking on the button above to validate or on"
"to delete it.","to delete it."
"New column name cannot be empty","New column name cannot be empty"
"Create a new column","Create a new column"
"Some operations are not allowed","Some operations are not allowed"
@ -168,6 +171,7 @@
"Correlation cut-off","Correlation cut-off"
"Set the cut-off for considered 'highly correlated'.","Set the cut-off for considered 'highly correlated'."
"Missings","Missings"
"To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not.","To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not."
"Class","Class"
"Observations","Observations"
"Data classes and missing observations","Data classes and missing observations"
@ -181,6 +185,8 @@
"Select data types to include","Select data types to include"
"Uploaded data overview","Uploaded data overview"
"Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.","Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias."
"#Data import\n","#Data import\n"
"#Data import formatting\n","#Data import formatting\n"
"Specify covariables","Specify covariables"
"If none are selected, all are included.","If none are selected, all are included."
"Analyse","Analyse"
@ -217,6 +223,7 @@
"Select a dataset:","Select a dataset:"
"List of datasets...","List of datasets..."
"No data selected!","No data selected!"
"Use a datasat from your environment or from the environment of a package.","Use a datasat from your environment or from the environment of a package."
"No dataset here...","No dataset here..."
"Use a dataset from your environment or from the environment of a package.","Use a dataset from your environment or from the environment of a package."
"Not a data.frame","Not a data.frame"
@ -240,18 +247,3 @@
"Option to perform statistical comparisons between strata in baseline table.","Option to perform statistical comparisons between strata in baseline table."
"Press 'Evaluate' to create the comparison table.","Press 'Evaluate' to create the comparison table."
"The data includes {n_col} variables. Please limit to 100.","The data includes {n_col} variables. Please limit to 100."
"Data import","Data import"
"Data import formatting","Data import formatting"
"Data modifications","Data modifications"
"Variables filter","Variables filter"
"Data filter","Data filter"
"Data characteristics table","Data characteristics table"
"The dataset without text variables","The dataset without text variables"
"Creating the table. Hold on for a moment..","Creating the table. Hold on for a moment.."
"Select variable to stratify analysis","Select variable to stratify analysis"
"Generating the report. Hold on for a moment..","Generating the report. Hold on for a moment.."
"We encountered the following error showing missingness:","We encountered the following error showing missingness:"
"We encountered the following error browsing your data:","We encountered the following error browsing your data:"
"To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random.","To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random."
"Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.","Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything."
"Please fill in web address and API token, then press 'Connect'.","Please fill in web address and API token, then press 'Connect'."

1 en sw
44 Enter an expression to define new column: Enter an expression to define new column:
45 Click on a column name to add it to the expression: Click on a column name to add it to the expression:
46 Create column Create column
47 Choose a name for the column to be created or modified, Choose a name for the column to be created or modified,
48 then enter an expression before clicking on the button above to validate or on then enter an expression before clicking on the button above to validate or on
49 to delete it. to delete it.
50 New column name cannot be empty New column name cannot be empty
51 Create a new column Create a new column
52 Some operations are not allowed Some operations are not allowed
171 Correlation cut-off Correlation cut-off
172 Set the cut-off for considered 'highly correlated'. Set the cut-off for considered 'highly correlated'.
173 Missings Missings
174 To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not. To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not.
175 Class Class
176 Observations Observations
177 Data classes and missing observations Data classes and missing observations
185 Select data types to include Select data types to include
186 Uploaded data overview Uploaded data overview
187 Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias. Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.
188 #Data import\n #Data import\n
189 #Data import formatting\n #Data import formatting\n
190 Specify covariables Specify covariables
191 If none are selected, all are included. If none are selected, all are included.
192 Analyse Analyse
223 Select a dataset: Select a dataset:
224 List of datasets... List of datasets...
225 No data selected! No data selected!
226 Use a datasat from your environment or from the environment of a package. Use a datasat from your environment or from the environment of a package.
227 No dataset here... No dataset here...
228 Use a dataset from your environment or from the environment of a package. Use a dataset from your environment or from the environment of a package.
229 Not a data.frame Not a data.frame
247 Option to perform statistical comparisons between strata in baseline table. Option to perform statistical comparisons between strata in baseline table.
248 Press 'Evaluate' to create the comparison table. Press 'Evaluate' to create the comparison table.
249 The data includes {n_col} variables. Please limit to 100. The data includes {n_col} variables. Please limit to 100.
Data import Data import
Data import formatting Data import formatting
Data modifications Data modifications
Variables filter Variables filter
Data filter Data filter
Data characteristics table Data characteristics table
The dataset without text variables The dataset without text variables
Creating the table. Hold on for a moment.. Creating the table. Hold on for a moment..
Select variable to stratify analysis Select variable to stratify analysis
Generating the report. Hold on for a moment.. Generating the report. Hold on for a moment..
We encountered the following error showing missingness: We encountered the following error showing missingness:
We encountered the following error browsing your data: We encountered the following error browsing your data:
To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random. To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random.
Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything. Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.
Please fill in web address and API token, then press 'Connect'. Please fill in web address and API token, then press 'Connect'.

View file

@ -39,5 +39,5 @@ data.frame(
plot_sankey_single("first", "last", color.group = "pri")
mtcars |>
default_parsing() |>
plot_sankey_single("cyl", "vs", color.group = "pri")
plot_sankey_single("cyl", "vs", color.group = "pri")
}