new version ready

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Andreas Gammelgaard Damsbo 2026-03-31 20:42:22 +02:00
commit de52a56b1f
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11 changed files with 27 additions and 147 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: 26.3.5
version: 26.3.6
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: 26.3.5
Version: 26.3.6
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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@ -1,3 +1,9 @@
# FreesearchR 26.3.6
*FIX* Plot single variable in Likert plot.
*FIX* Horisontal stacked plot crashed. Fixed!
# FreesearchR 26.3.5
*FIX* Labelled categorical variables were not handled correctly importing from REDCap resulting in lost labels. Fixed!

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@ -1 +1 @@
app_version <- function()'26.3.5'
app_version <- function()'26.3.6'

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@ -117,18 +117,7 @@ data_visuals_ui <- function(id, tab_title = "Plots", ...) {
#' @export
data_visuals_server <- function(id,
data,
palettes = c(
"Perceptual (blue-yellow)" = "viridis",
"Perceptual (fire)" = "plasma",
"Colour-blind friendly" = "Okabe-Ito",
"Qualitative (bold)" = "Dark 2",
"Qualitative (paired)" = "Paired",
"Sequential (blues)" = "Blues",
"Diverging (red-blue)" = "RdBu",
"Tableau style" = "Tableau 10",
"Pastel" = "Pastel 1",
"Rainbow" = "rainbow"
),
palettes,
...) {
shiny::moduleServer(
id = id,
@ -150,100 +139,6 @@ data_visuals_server <- function(id,
title = i18n$t("Download"))
})
# ## --- New attempt
#
# rv$plot.params <- shiny::reactive({
# get_plot_options(input$type) |> purrr::pluck(1)
# })
#
# c(output,
# list(shiny::renderUI({
# columnSelectInput(
# inputId = ns("primary"),
# data = data,
# placeholder = "Select variable",
# label = "Response variable",
# multiple = FALSE
# )
# }),
# shiny::renderUI({
# shiny::req(input$primary)
# # browser()
#
# if (!input$primary %in% names(data())) {
# plot_data <- data()[1]
# } else {
# plot_data <- data()[input$primary]
# }
#
# plots <- possible_plots(
# data = plot_data
# )
#
# plots_named <- get_plot_options(plots) |>
# lapply(\(.x){
# stats::setNames(.x$descr, .x$note)
# })
#
# vectorSelectInput(
# inputId = ns("type"),
# selected = NULL,
# label = shiny::h4("Plot type"),
# choices = Reduce(c, plots_named),
# multiple = FALSE
# )
# }),
# shiny::renderUI({
# shiny::req(input$type)
#
# cols <- c(
# rv$plot.params()[["secondary.extra"]],
# all_but(
# colnames(subset_types(
# data(),
# rv$plot.params()[["secondary.type"]]
# )),
# input$primary
# )
# )
#
# columnSelectInput(
# inputId = ns("secondary"),
# data = data,
# selected = cols[1],
# placeholder = "Please select",
# label = if (isTRUE(rv$plot.params()[["secondary.multi"]])) "Additional variables" else "Secondary variable",
# multiple = rv$plot.params()[["secondary.multi"]],
# maxItems = rv$plot.params()[["secondary.max"]],
# col_subset = cols,
# none_label = "No variable"
# )
# }),
# shiny::renderUI({
# shiny::req(input$type)
# columnSelectInput(
# inputId = ns("tertiary"),
# data = data,
# placeholder = "Please select",
# label = "Grouping variable",
# multiple = FALSE,
# col_subset = c(
# "none",
# all_but(
# colnames(subset_types(
# data(),
# rv$plot.params()[["tertiary.type"]]
# )),
# input$primary,
# input$secondary
# )
# ),
# none_label = "No stratification"
# )
# })
# )|> setNames(c("primary","type","secondary","tertiary")),keep.null = TRUE)
output$primary <- shiny::renderUI({
shiny::req(data())
columnSelectInput(
@ -258,13 +153,12 @@ data_visuals_server <- function(id,
# shiny::observeEvent(data, {
# if (is.null(data()) | NROW(data()) == 0) {
# shiny::updateActionButton(inputId = ns("act_plot"), disabled = TRUE)
# shiny::updateActionButton(inputId = "act_plot", disabled = TRUE)
# } else {
# shiny::updateActionButton(inputId = ns("act_plot"), disabled = FALSE)
# shiny::updateActionButton(inputId = "act_plot", disabled = FALSE)
# }
# })
output$type <- shiny::renderUI({
shiny::req(input$primary)
shiny::req(data())
@ -610,6 +504,7 @@ supported_plots <- function() {
primary.type = c("dichotomous", "categorical"),
secondary.type = c("dichotomous", "categorical"),
secondary.multi = TRUE,
secondary.extra = NULL,
tertiary.type = c("dichotomous", "categorical"),
secondary.extra = NULL
)

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@ -1 +1 @@
hosted_version <- function()'v26.3.5-260330'
hosted_version <- function()'v26.3.6-260331'

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@ -56,30 +56,12 @@ plot_bar_single <- function(data, pri, sec = NULL, style = c("stack", "dodge", "
if (nrow(p_data) > max_level) {
# browser()
p_data <- sort_by(
p_data,
p_data[["Freq"]],
decreasing = TRUE
) |>
head(max_level)
# if (is.null(sec)){
# p_data <- sort_by(
# p_data,
# p_data[["Freq"]],
# decreasing=TRUE) |>
# head(max_level)
# } else {
# split(p_data,p_data[[sec]]) |>
# lapply(\(.x){
# # browser()
# sort_by(
# .x,
# .x[["Freq"]],
# decreasing=TRUE) |>
# head(max_level)
# }) |> dplyr::bind_rows()
# }
}
## Shortens long level names

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@ -4,18 +4,18 @@
|setting |value |
|:-----------|:------------------------------------------|
|version |R version 4.5.2 (2025-10-31) |
|os |macOS Tahoe 26.3 |
|os |macOS Tahoe 26.4 |
|system |aarch64, darwin20 |
|ui |RStudio |
|language |(EN) |
|collate |en_US.UTF-8 |
|ctype |en_US.UTF-8 |
|tz |Europe/Copenhagen |
|date |2026-03-30 |
|date |2026-03-31 |
|rstudio |2026.01.1+403 Apple Blossom (desktop) |
|pandoc |3.6.4 @ /opt/homebrew/bin/ (via rmarkdown) |
|quarto |1.7.30 @ /usr/local/bin/quarto |
|FreesearchR |26.3.5.260330 |
|FreesearchR |26.3.6.260331 |
--------------------------------------------------------------------------------
@ -84,7 +84,7 @@
|foreach |1.5.2 |2022-02-02 |CRAN (R 4.5.0) |
|foreign |0.8-91 |2026-01-29 |CRAN (R 4.5.2) |
|Formula |1.2-5 |2023-02-24 |CRAN (R 4.5.0) |
|FreesearchR |26.3.5 |NA |NA |
|FreesearchR |26.3.6 |NA |NA |
|fs |1.6.7 |2026-03-06 |CRAN (R 4.5.2) |
|gdtools |0.5.0 |2026-02-09 |CRAN (R 4.5.2) |
|generics |0.1.4 |2025-05-09 |CRAN (R 4.5.0) |
@ -150,6 +150,7 @@
|pkgload |1.5.0 |2026-02-03 |CRAN (R 4.5.2) |
|plyr |1.8.9 |2023-10-02 |CRAN (R 4.5.0) |
|polyclip |1.10-7 |2024-07-23 |CRAN (R 4.5.0) |
|polyglotr |1.7.1 |NA |NA |
|pracma |2.4.6 |2025-10-22 |CRAN (R 4.5.0) |
|processx |3.8.6 |2025-02-21 |CRAN (R 4.5.0) |
|promises |1.5.0 |2025-11-01 |CRAN (R 4.5.0) |
@ -187,10 +188,12 @@
|rprojroot |2.1.1 |2025-08-26 |CRAN (R 4.5.0) |
|rsconnect |1.7.0 |2025-12-06 |CRAN (R 4.5.2) |
|rstudioapi |0.18.0 |2026-01-16 |CRAN (R 4.5.2) |
|rvest |1.0.5 |NA |NA |
|S7 |0.2.1 |2025-11-14 |CRAN (R 4.5.2) |
|sass |0.4.10 |2025-04-11 |CRAN (R 4.5.0) |
|scales |1.4.0 |2025-04-24 |CRAN (R 4.5.0) |
|see |0.13.0 |2026-01-30 |CRAN (R 4.5.2) |
|selectr |0.5-1 |NA |NA |
|sessioninfo |1.2.3 |2025-02-05 |CRAN (R 4.5.0) |
|shiny |1.13.0 |2026-02-20 |CRAN (R 4.5.2) |
|shiny.i18n |0.3.0 |2023-01-16 |CRAN (R 4.5.0) |
@ -211,10 +214,13 @@
|tidyselect |1.2.1 |2024-03-11 |CRAN (R 4.5.0) |
|timechange |0.4.0 |2026-01-29 |CRAN (R 4.5.2) |
|toastui |0.4.0 |2025-04-03 |CRAN (R 4.5.0) |
|triebeard |0.4.1 |NA |NA |
|tweenr |2.0.3 |2024-02-26 |CRAN (R 4.5.0) |
|twosamples |2.0.1 |2023-06-23 |CRAN (R 4.5.0) |
|tzdb |0.5.0 |2025-03-15 |CRAN (R 4.5.0) |
|urltools |1.7.3.1 |NA |NA |
|usethis |3.2.1 |2025-09-06 |CRAN (R 4.5.0) |
|utf8 |1.2.6 |2025-06-08 |CRAN (R 4.5.0) |
|uuid |1.2-2 |2026-01-23 |CRAN (R 4.5.2) |
|vctrs |0.7.1 |2026-01-23 |CRAN (R 4.5.2) |
|viridis |0.6.5 |2024-01-29 |CRAN (R 4.5.0) |

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@ -21,16 +21,7 @@
\usage{
data_visuals_ui(id, tab_title = "Plots", ...)
data_visuals_server(
id,
data,
palettes = c(`Perceptual (blue-yellow)` = "viridis", `Perceptual (fire)` = "plasma",
`Colour-blind friendly` = "Okabe-Ito", `Qualitative (bold)` = "Dark 2",
`Qualitative (paired)` = "Paired", `Sequential (blues)` = "Blues",
`Diverging (red-blue)` = "RdBu", `Tableau style` = "Tableau 10", Pastel = "Pastel 1",
Rainbow = "rainbow"),
...
)
data_visuals_server(id, data, palettes, ...)
create_plot(data, type, pri, sec, ter = NULL, color.palette = "viridis", ...)
@ -170,7 +161,7 @@ mtcars |> plot_hbars(pri = "carb", sec = "cyl")
mtcars |> plot_hbars(pri = "carb", sec = "cyl", ter="am")
mtcars |> plot_hbars(pri = "carb", sec = NULL,color.palette="Blues")
mtcars |> plot_hbars(pri = "carb", sec = NULL,color.palette="Magma")
mtcars |> plot_hbars(pri = "carb", sec = NULL,color.palette="Viridis")
mtcars |> plot_hbars(pri = "carb", sec = "am",color.palette="Viridis")
mtcars |> plot_likert(pri = "carb", sec = "cyl")
mtcars |> plot_likert(pri = "carb", sec = "cyl", ter="am")
mtcars |> plot_likert(pri = "cyl",color.palette="Blues")

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@ -9,7 +9,7 @@ vertical_stacked_bars(
score = "full_score",
group = "pase_0_q",
strata = NULL,
t.size = 10,
t.size = 8,
l.color = "black",
l.size = 0.5,
draw.lines = TRUE,