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synced 2026-06-19 04:27:30 +02:00
chore: more translatable strings and cleaning
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parent
9f9a210c41
commit
be87e97f4d
21 changed files with 757 additions and 879 deletions
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@ -321,11 +321,11 @@ ui_elements <- function(selection) {
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shiny::tags$br(),
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shiny::actionButton(
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inputId = "data_reset",
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label = "Restore original data",
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label = i18n$t("Restore original data"),
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width = "100%"
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),
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shiny::tags$br(),
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shiny::helpText("Reset to original imported dataset. Careful! There is no un-doing."),
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shiny::helpText(i18n$t("Reset to original imported dataset. Careful! There is no un-doing.")),
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shiny::tags$br()
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)
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# )
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@ -344,7 +344,7 @@ ui_elements <- function(selection) {
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# bslib::navset_bar(
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# title = "",
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bslib::nav_panel(
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title = "Characteristics",
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title = i18n$t("Characteristics"),
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icon = bsicons::bs_icon("table"),
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bslib::layout_sidebar(
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sidebar = bslib::sidebar(
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@ -359,12 +359,12 @@ ui_elements <- function(selection) {
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title = "Settings",
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icon = bsicons::bs_icon("table"),
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shiny::uiOutput("strat_var"),
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shiny::helpText("Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list."),
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shiny::helpText(i18n$t("Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list.")),
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shiny::conditionalPanel(
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condition = "input.strat_var!='none'",
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shiny::radioButtons(
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inputId = "add_p",
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label = "Compare strata?",
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label = i18n$t("Compare strata?"),
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selected = "no",
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inline = TRUE,
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choices = list(
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@ -378,7 +378,7 @@ ui_elements <- function(selection) {
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shiny::br(),
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shiny::actionButton(
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inputId = "act_eval",
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label = "Evaluate",
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label = i18n$t("Evaluate"),
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width = "100%",
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icon = shiny::icon("calculator"),
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disabled = TRUE
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@ -390,7 +390,7 @@ ui_elements <- function(selection) {
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)
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),
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bslib::nav_panel(
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title = "Correlations",
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title = i18n$t("Correlations"),
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icon = bsicons::bs_icon("bounding-box"),
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bslib::layout_sidebar(
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sidebar = bslib::sidebar(
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@ -404,11 +404,11 @@ ui_elements <- function(selection) {
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title = "Settings",
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icon = bsicons::bs_icon("bounding-box"),
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shiny::uiOutput("outcome_var_cor"),
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shiny::helpText("To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'."),
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shiny::helpText(i18n$t("To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.")),
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shiny::br(),
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shinyWidgets::noUiSliderInput(
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inputId = "cor_cutoff",
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label = "Correlation cut-off",
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label = i18n$t("Correlation cut-off"),
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min = 0,
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max = 1,
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step = .01,
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@ -416,7 +416,7 @@ ui_elements <- function(selection) {
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format = shinyWidgets::wNumbFormat(decimals = 2),
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color = datamods:::get_primary_color()
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),
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shiny::helpText("Set the cut-off for considered 'highly correlated'.")
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shiny::helpText(i18n$t("Set the cut-off for considered 'highly correlated'."))
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)
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)
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),
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@ -424,7 +424,7 @@ ui_elements <- function(selection) {
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)
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),
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bslib::nav_panel(
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title = "Missings",
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title = i18n$t("Missings"),
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icon = bsicons::bs_icon("x-circle"),
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bslib::layout_sidebar(
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sidebar = bslib::sidebar(
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@ -437,7 +437,7 @@ ui_elements <- function(selection) {
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title = "Settings",
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icon = bsicons::bs_icon("x-circle"),
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shiny::uiOutput("missings_var"),
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shiny::helpText("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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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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)
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)
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),
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