latest dev version

CITATION.cff

@@ -9,7 +9,7 @@ type: software
 license: AGPL-3.0-or-later
 title: 'FreesearchR: A free and open-source browser based data analysis tool for researchers
   with publication ready output'
-version: 25.6.2
+version: 25.6.3
 doi: 10.5281/zenodo.14527429
 identifiers:
 - type: url
@@ -1002,6 +1002,19 @@ references:
     email: russell-lenth@uiowa.edu
   year: '2025'
   doi: 10.32614/CRAN.package.emmeans
+- type: software
+  title: visdat
+  abstract: 'visdat: Preliminary Visualisation of Data'
+  notes: Imports
+  url: https://docs.ropensci.org/visdat/
+  repository: https://CRAN.R-project.org/package=visdat
+  authors:
+  - family-names: Tierney
+    given-names: Nicholas
+    email: nicholas.tierney@gmail.com
+    orcid: https://orcid.org/0000-0003-1460-8722
+  year: '2025'
+  doi: 10.32614/CRAN.package.visdat
 - type: software
   title: styler
   abstract: 'styler: Non-Invasive Pretty Printing of R Code'

NAMESPACE

@@ -78,6 +78,7 @@ export(m_redcap_readUI)
 export(merge_expression)
 export(merge_long)
 export(missing_fraction)
+export(missings_apex_plot)
 export(modal_create_column)
 export(modal_cut_variable)
 export(modal_update_factor)

NEWS.md

@@ -1,6 +1,10 @@
 # FreesearchR 25.6.3
 
-- *NEW* First go at introducing more options to evaluate missings. Also reworded the text on the initial filter to only include variables missings less than the given threshold.
+- *NEW* First go at introducing more options to evaluate missings. This has introduced a new dependency to use the visdat package and visualisation. The solution includes the option to visualise data classes and missingness as well as comparisons of variables by missing outcome variable or not to determine the nature of missingness.
+
+- *FIX* The REDCap import module has been updated visually and the PAI token is now hidden as a password. This module should still only be used when running locally if you are accessing sensitive data.
+
+- minor rewordings and updated UI.
 
 # FreesearchR 25.6.2
 

R/hosted_version.R

@@ -1 +1 @@
-hosted_version <- function()'v25.6.3-250620'
+hosted_version <- function()'v25.6.3-250625'

R/missings-module.R

@@ -9,8 +9,7 @@ data_missings_ui <- function(id) {
   ns <- shiny::NS(id)
 
   shiny::tagList(
-    gt::gt_output(outputId = ns("missings_table")),
+    gt::gt_output(outputId = ns("missings_table"))
-    shiny::plotOutput(outputId = ns("missings_plot"))
   )
 }
 
@@ -24,20 +23,56 @@ data_missings_ui <- function(id) {
 #' @export
 data_missings_server <- function(id,
                                  data,
+                                 variable,
                                  ...) {
   shiny::moduleServer(
     id = id,
     module = function(input, output, session) {
       # ns <- session$ns
 
+      datar <- if (is.reactive(data)) data else reactive(data)
+      variabler <- if (is.reactive(variable)) variable else reactive(variable)
+
       rv <- shiny::reactiveValues(
         data = NULL
       )
 
-      rv$data <- if (is.reactive(data)) data else reactive(data)
+      rv$data <- shiny::reactive({
+        df_tbl <- datar()
+        by_var <- variabler()
 
-      output$missings_plot <- shiny::renderPlot({
+        tryCatch(
-        visdat::vis_dat(rv$data(),palette = "cb_safe")
+          {
+            if (!is.null(by_var) && by_var != "" && by_var %in% names(df_tbl)) {
+              df_tbl[[by_var]] <- ifelse(is.na(df_tbl[[by_var]]), "Missing", "Non-missing")
+
+              out <- gtsummary::tbl_summary(df_tbl, by = by_var) |>
+                gtsummary::add_p()
+            } else {
+              out <- gtsummary::tbl_summary(df_tbl)
+            }
+          },
+          error = function(err) {
+            showNotification(paste0("Error: ", err), type = "err")
+          }
+        )
+
+        out
+      })
+
+      output$missings_table <- gt::render_gt({
+        shiny::req(datar)
+        shiny::req(variabler)
+
+        if (is.null(variabler()) || variabler() == "" || !variabler() %in% names(datar())) {
+          title <- "No missing observations"
+        } else {
+          title <- paste("Missing vs non-missing observations in", variabler())
+        }
+
+        rv$data() |>
+          gtsummary::as_gt() |>
+          gt::tab_header(title = gt::md(title))
       })
     }
   )
@@ -51,17 +86,24 @@ missing_demo_app <- function() {
       label = "Browse data",
       width = "100%",
       disabled = FALSE
-    )#,
+    ),
-    # data_missings_ui("data")
+    shiny::selectInput(
+      inputId = "missings_var",
+      label = "Select variable to stratify analysis", choices = c("cyl", "vs")
+    ),
+    data_missings_ui("data")
   )
   server <- function(input, output, session) {
     data_demo <- mtcars
-    data_demo[2:4, "cyl"] <- NA
+    data_demo[sample(1:32, 10), "cyl"] <- NA
+    data_demo[sample(1:32, 8), "vs"] <- NA
+
+    data_missings_server(id = "data", data = data_demo, variable = shiny::reactive(input$missings_var))
 
     observeEvent(input$modal_missings, {
       tryCatch(
         {
-          modal_data_missings(data = data_demo, id = "modal_missings")
+          modal_visual_missings(data = data_demo, id = "modal_missings")
         },
         error = function(err) {
           showNotification(paste0("We encountered the following error browsing your data: ", err), type = "err")
@@ -75,20 +117,22 @@ missing_demo_app <- function() {
 missing_demo_app()
 
 
-modal_data_missings <- function(data,
+modal_visual_missings <- function(data,
-                                title = "Show missing pattern",
+                                  title = "Visual overview of data classes and missing observations",
                                   easyClose = TRUE,
                                   size = "xl",
                                   footer = NULL,
                                   ...) {
-
   datar <- if (is.reactive(data)) data else reactive(data)
 
   showModal(modalDialog(
     title = tagList(title, datamods:::button_close_modal()),
     tags$div(
+      # apexcharter::renderApexchart({
+      #   missings_apex_plot(datar(), ...)
+      # })
       shiny::renderPlot({
-        visdat::vis_dat(datar())+
+        visdat::vis_dat(datar(),sort_type = FALSE) +
           ggplot2::guides(fill = ggplot2::guide_legend(title = "Data class")) +
           # ggplot2::theme_void() +
           ggplot2::theme(
@@ -97,7 +141,7 @@ modal_data_missings <- function(data,
             panel.grid.minor = ggplot2::element_blank(),
             # axis.text.y = element_blank(),
             # axis.title.y = element_blank(),
-            text = ggplot2::element_text(size = 15),
+            text = ggplot2::element_text(size = 18),
             # axis.text = ggplot2::element_blank(),
             # panel.background = ggplot2::element_rect(fill = "white"),
             # plot.background = ggplot2::element_rect(fill = "white"),
@@ -111,3 +155,99 @@ modal_data_missings <- function(data,
     footer = footer
   ))
 }
+
+
+## Slow with many observations...
+
+#' Plot missings and class with apexcharter
+#'
+#' @param data data frame
+#'
+#' @returns An [apexchart()] `htmlwidget` object.
+#' @export
+#'
+#' @examples
+#' data_demo <- mtcars
+#' data_demo[2:4, "cyl"] <- NA
+#' rbind(data_demo, data_demo, data_demo, data_demo) |> missings_apex_plot()
+#' data_demo |> missings_apex_plot()
+#' mtcars |> missings_apex_plot(animation = TRUE)
+#' # dplyr::storms |> missings_apex_plot()
+#' visdat::vis_dat(dplyr::storms)
+missings_apex_plot <- function(data, animation = FALSE, ...) {
+  browser()
+
+  df_plot <- purrr::map_df(data, \(x){
+    ifelse(is.na(x),
+      yes = NA,
+      no = glue::glue_collapse(class(x),
+        sep = "\n"
+      )
+    )
+  }) %>%
+    dplyr::mutate(rows = dplyr::row_number()) %>%
+    tidyr::pivot_longer(
+      cols = -rows,
+      names_to = "variable", values_to = "valueType", values_transform = list(valueType = as.character)
+    ) %>%
+    dplyr::arrange(rows, variable, valueType)
+
+
+  df_plot$valueType_num <- df_plot$valueType |>
+    forcats::as_factor() |>
+    as.numeric()
+
+
+  df_plot$valueType[is.na(df_plot$valueType)] <- "NA"
+  df_plot$valueType_num[is.na(df_plot$valueType_num)] <- max(df_plot$valueType_num, na.rm = TRUE) + 1
+
+  labels <- setNames(unique(df_plot$valueType_num), unique(df_plot$valueType))
+
+  if (any(df_plot$valueType == "NA")) {
+    colors <- setNames(c(viridisLite::viridis(n = length(labels) - 1), "#999999"), names(labels))
+  } else {
+    colors <- setNames(viridisLite::viridis(n = length(labels)), names(labels))
+  }
+
+
+  label_list <- labels |>
+    purrr::imap(\(.x, .i){
+      list(
+        from = .x,
+        to = .x,
+        color = colors[[.i]],
+        name = .i
+      )
+    }) |>
+    setNames(NULL)
+
+  out <- apexcharter::apex(
+    data = df_plot,
+    type = "heatmap",
+    mapping = apexcharter::aes(x = variable, y = rows, fill = valueType_num),
+    ...
+  ) %>%
+    apexcharter::ax_stroke(width = NULL) |>
+    apexcharter::ax_plotOptions(
+      heatmap = apexcharter::heatmap_opts(
+        radius = 0,
+        enableShades = FALSE,
+        colorScale = list(
+          ranges = label_list
+        ),
+        useFillColorAsStroke = TRUE
+      )
+    ) %>%
+    apexcharter::ax_dataLabels(enabled = FALSE) |>
+    apexcharter::ax_tooltip(
+      enabled = FALSE,
+      intersect = FALSE
+    )
+
+  if (!isTRUE(animation)) {
+    out <- out |>
+      apexcharter::ax_chart(animations = list(enabled = FALSE))
+  }
+
+  out
+}

R/redcap_read_shiny_module.R

@@ -18,18 +18,25 @@ m_redcap_readUI <- function(id, title = TRUE, url = NULL) {
   }
 
   server_ui <- shiny::tagList(
-    # width = 6,
     shiny::tags$h4("REDCap server"),
     shiny::textInput(
       inputId = ns("uri"),
       label = "Web address",
-      value = if_not_missing(url, "https://redcap.your.institution/")
+      value = if_not_missing(url, "https://redcap.your.institution/"),
+      width = "100%"
     ),
     shiny::helpText("Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'"),
-    shiny::textInput(
+    # shiny::textInput(
+    #   inputId = ns("api"),
+    #   label = "API token",
+    #   value = "",
+    #   width = "100%"
+    # ),
+    shiny::passwordInput(
       inputId = ns("api"),
       label = "API token",
-      value = ""
+      value = "",
+      width = "100%"
     ),
     shiny::helpText("The token is a string of 32 numbers and letters."),
     shiny::br(),
@@ -67,10 +74,13 @@ m_redcap_readUI <- function(id, title = TRUE, url = NULL) {
 
   params_ui <-
     shiny::tagList(
-      # width = 6,
       shiny::tags$h4("Data import parameters"),
-      shiny::helpText("Options here will show, when API and uri are typed"),
+      shiny::tags$div(
-      shiny::tags$br(),
+        style = htmltools::css(
+          display = "grid",
+          gridTemplateColumns = "1fr 50px",
+          gridColumnGap = "10px"
+        ),
         shiny::uiOutput(outputId = ns("fields")),
         shiny::tags$div(
           class = "shiny-input-container",
@@ -83,15 +93,15 @@ m_redcap_readUI <- function(id, title = TRUE, url = NULL) {
           shinyWidgets::dropMenu(
             shiny::actionButton(
               inputId = ns("dropdown_params"),
-            label = "Add data filters",
+              label = shiny::icon("filter"),
-            icon = shiny::icon("filter"),
+              width = "50px"
-            width = "100%",
-            class = "px-1"
             ),
             filter_ui
+          )
+        )
       ),
-        shiny::helpText("Optionally filter project arms if logitudinal or apply server side data filters")
+      shiny::helpText("Select fields/variables to import and click the funnel to apply optional filters"),
-      ),
+      shiny::tags$br(),
       shiny::tags$br(),
       shiny::uiOutput(outputId = ns("data_type")),
       shiny::uiOutput(outputId = ns("fill")),
@@ -112,28 +122,14 @@ m_redcap_readUI <- function(id, title = TRUE, url = NULL) {
           tags$p(phosphoricons::ph("info", weight = "bold"), "Please specify data to download, then press 'Import'.")
         ),
         dismissible = TRUE
-      ) # ,
+      )
-      ## TODO: Use busy indicator like on download to have button activate/deactivate
-      # bslib::input_task_button(
-      #   id = ns("data_import"),
-      #   label = "Import",
-      #   icon = shiny::icon("download", lib = "glyphicon"),
-      #   label_busy = "Just a minute...",
-      #   icon_busy = fontawesome::fa_i("arrows-rotate",
-      #     class = "fa-spin",
-      #     "aria-hidden" = "true"
-      #   ),
-      #   type = "primary",
-      #   auto_reset = TRUE#,state="busy"
-      # ),
-      # shiny::br(),
-      # shiny::helpText("Press 'Import' to get data from the REDCap server. Check the preview below before proceeding.")
     )
 
 
   shiny::fluidPage(
     title = title,
     server_ui,
+    # shiny::uiOutput(ns("params_ui")),
     shiny::conditionalPanel(
       condition = "output.connect_success == true",
       params_ui,
@@ -257,6 +253,7 @@ m_redcap_readServer <- function(id) {
     output$connect_success <- shiny::reactive(identical(data_rv$dd_status, "success"))
     shiny::outputOptions(output, "connect_success", suspendWhenHidden = FALSE)
 
+
     shiny::observeEvent(input$see_dd, {
       show_data(
         purrr::pluck(data_rv$dd_list, "data"),
@@ -292,7 +289,7 @@ m_redcap_readServer <- function(id) {
       shiny::req(data_rv$dd_list)
       shinyWidgets::virtualSelectInput(
         inputId = ns("fields"),
-        label = "Select variables to import:",
+        label = "Select fields/variables to import:",
         choices = purrr::pluck(data_rv$dd_list, "data") |>
           dplyr::select(field_name, form_name) |>
           (\(.x){
@@ -301,7 +298,8 @@ m_redcap_readServer <- function(id) {
         updateOn = "change",
         multiple = TRUE,
         search = TRUE,
-        showValueAsTags = TRUE
+        showValueAsTags = TRUE,
+        width = "100%"
       )
     })
 
@@ -310,13 +308,14 @@ m_redcap_readServer <- function(id) {
       if (isTRUE(data_rv$info$has_repeating_instruments_or_events)) {
         vectorSelectInput(
           inputId = ns("data_type"),
-          label = "Select the data format to import",
+          label = "Specify the data format",
           choices = c(
             "Wide data (One row for each subject)" = "wide",
             "Long data for project with repeating instruments (default REDCap)" = "long"
           ),
           selected = "wide",
-          multiple = FALSE
+          multiple = FALSE,
+          width = "100%"
         )
       }
     })
@@ -342,7 +341,8 @@ m_redcap_readServer <- function(id) {
             "No, leave the data as is" = "no"
           ),
           selected = "no",
-          multiple = FALSE
+          multiple = FALSE,
+          width = "100%"
         )
       }
     })
@@ -362,7 +362,8 @@ m_redcap_readServer <- function(id) {
           selected = NULL,
           label = "Filter by events/arms",
           choices = stats::setNames(arms()[[3]], arms()[[1]]),
-          multiple = TRUE
+          multiple = TRUE,
+          width = "100%"
         )
       }
     })

SESSION.md

@@ -11,11 +11,11 @@
 |collate     |en_US.UTF-8                                |
 |ctype       |en_US.UTF-8                                |
 |tz          |Europe/Copenhagen                          |
-|date        |2025-06-06                                 |
+|date        |2025-06-25                                 |
 |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 |25.6.2.250606                              |
+|FreesearchR |25.6.3.250625                              |
                                                                                 
                                                                                 
 --------------------------------------------------------------------------------
@@ -43,7 +43,6 @@
 |cardx             |0.2.4         |2025-04-12 |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 |CRAN (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) |
@@ -76,6 +75,7 @@
 |farver            |2.1.2         |2024-05-13 |CRAN (R 4.4.1) |
 |fastmap           |1.2.0         |2024-05-15 |CRAN (R 4.4.1) |
 |flextable         |0.9.7         |2024-10-27 |CRAN (R 4.4.1) |
+|fontawesome       |0.5.3         |2024-11-16 |CRAN (R 4.4.1) |
 |fontBitstreamVera |0.1.1         |2017-02-01 |CRAN (R 4.4.1) |
 |fontLiberation    |0.1.0         |2016-10-15 |CRAN (R 4.4.1) |
 |fontquiver        |0.2.1         |2017-02-01 |CRAN (R 4.4.0) |
@@ -83,7 +83,7 @@
 |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       |25.6.2        |NA         |NA             |
+|FreesearchR       |25.6.3        |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          |0.1.3         |2022-07-05 |CRAN (R 4.4.1) |
@@ -106,21 +106,24 @@
 |htmltools         |0.5.8.1       |2024-04-04 |CRAN (R 4.4.1) |
 |htmlwidgets       |1.6.4         |2023-12-06 |CRAN (R 4.4.0) |
 |httpuv            |1.6.16        |2025-04-16 |CRAN (R 4.4.1) |
+|httr              |1.4.7         |2023-08-15 |CRAN (R 4.4.0) |
 |IDEAFilter        |0.2.0         |2024-04-15 |CRAN (R 4.4.0) |
 |insight           |1.2.0         |2025-04-22 |CRAN (R 4.4.1) |
 |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           |1.3.2         |2023-12-11 |CRAN (R 4.4.0) |
 |knitr             |1.50          |2025-03-16 |CRAN (R 4.4.1) |
+|labeling          |0.4.3         |2023-08-29 |CRAN (R 4.4.1) |
 |later             |1.4.2         |2025-04-08 |CRAN (R 4.4.1) |
 |lattice           |0.22-7        |2025-04-02 |CRAN (R 4.4.1) |
 |lifecycle         |1.0.4         |2023-11-07 |CRAN (R 4.4.1) |
+|litedown          |0.7           |2025-04-08 |CRAN (R 4.4.1) |
 |lme4              |1.1-37        |2025-03-26 |CRAN (R 4.4.1) |
 |lubridate         |1.9.4         |2024-12-08 |CRAN (R 4.4.1) |
 |magrittr          |2.0.3         |2022-03-30 |CRAN (R 4.4.1) |
+|markdown          |2.0           |2025-03-23 |CRAN (R 4.4.1) |
 |MASS              |7.3-65        |2025-02-28 |CRAN (R 4.4.1) |
 |Matrix            |1.7-3         |2025-03-11 |CRAN (R 4.4.1) |
 |memoise           |2.0.1         |2021-11-26 |CRAN (R 4.4.0) |
@@ -135,6 +138,7 @@
 |opdisDownsampling |1.0.1         |2024-04-15 |CRAN (R 4.4.0) |
 |openssl           |2.3.2         |2025-02-03 |CRAN (R 4.4.1) |
 |openxlsx2         |1.15          |2025-04-25 |CRAN (R 4.4.1) |
+|pak               |0.8.0.2       |2025-04-08 |CRAN (R 4.4.1) |
 |parameters        |0.24.2        |2025-03-04 |CRAN (R 4.4.1) |
 |patchwork         |1.3.0         |2024-09-16 |CRAN (R 4.4.1) |
 |pbmcapply         |1.5.1         |2022-04-28 |CRAN (R 4.4.1) |
@@ -156,10 +160,13 @@
 |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            |1.4.4         |2024-07-20 |CRAN (R 4.4.0) |
+|R.cache           |0.16.0        |2022-07-21 |CRAN (R 4.4.0) |
+|R.methodsS3       |1.8.2         |2022-06-13 |CRAN (R 4.4.1) |
+|R.oo              |1.27.0        |2024-11-01 |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 |CRAN (R 4.4.1) |
 |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              |1.0.14        |2025-01-12 |CRAN (R 4.4.1) |
@@ -191,11 +198,13 @@
 |sessioninfo       |1.2.3         |2025-02-05 |CRAN (R 4.4.1) |
 |shiny             |1.10.0        |2024-12-14 |CRAN (R 4.4.1) |
 |shinybusy         |0.3.3         |2024-03-09 |CRAN (R 4.4.0) |
+|shinydashboard    |0.7.3         |NA         |NA             |
 |shinyjs           |2.1.0         |2021-12-23 |CRAN (R 4.4.0) |
 |shinyTime         |1.0.3         |2022-08-19 |CRAN (R 4.4.0) |
 |shinyWidgets      |0.9.0         |2025-02-21 |CRAN (R 4.4.1) |
 |stringi           |1.8.7         |2025-03-27 |CRAN (R 4.4.1) |
 |stringr           |1.5.1         |2023-11-14 |CRAN (R 4.4.0) |
+|styler            |1.10.3        |2024-04-07 |CRAN (R 4.4.0) |
 |systemfonts       |1.2.2         |2025-04-04 |CRAN (R 4.4.1) |
 |testthat          |3.2.3         |2025-01-13 |CRAN (R 4.4.1) |
 |textshaping       |1.0.0         |2025-01-20 |CRAN (R 4.4.1) |
@@ -211,8 +220,8 @@
 |urlchecker        |1.0.1         |2021-11-30 |CRAN (R 4.4.1) |
 |usethis           |3.1.0         |2024-11-26 |CRAN (R 4.4.1) |
 |uuid              |1.2-1         |2024-07-29 |CRAN (R 4.4.1) |
-|V8                |6.0.3         |2025-03-26 |CRAN (R 4.4.1) |
 |vctrs             |0.6.5         |2023-12-01 |CRAN (R 4.4.0) |
+|visdat            |0.6.0         |2023-02-02 |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) |
 |writexl           |1.5.4         |2025-04-15 |CRAN (R 4.4.1) |

inst/apps/FreesearchR/app.R

@@ -3996,7 +3996,7 @@ simple_snake <- function(data){
 #### Current file: /Users/au301842/FreesearchR/R//hosted_version.R 
 ########
 
-hosted_version <- function()'v25.6.3-250620'
+hosted_version <- function()'v25.6.3-250625'
 
 
 ########
@@ -4670,8 +4670,7 @@ data_missings_ui <- function(id) {
   ns <- shiny::NS(id)
 
   shiny::tagList(
-    gt::gt_output(outputId = ns("missings_table")),
+    gt::gt_output(outputId = ns("missings_table"))
-    shiny::plotOutput(outputId = ns("missings_plot"))
   )
 }
 
@@ -4685,20 +4684,56 @@ data_missings_ui <- function(id) {
 #' @export
 data_missings_server <- function(id,
                                  data,
+                                 variable,
                                  ...) {
   shiny::moduleServer(
     id = id,
     module = function(input, output, session) {
       # ns <- session$ns
 
+      datar <- if (is.reactive(data)) data else reactive(data)
+      variabler <- if (is.reactive(variable)) variable else reactive(variable)
+
       rv <- shiny::reactiveValues(
         data = NULL
       )
 
-      rv$data <- if (is.reactive(data)) data else reactive(data)
+      rv$data <- shiny::reactive({
+        df_tbl <- datar()
+        by_var <- variabler()
 
-      output$missings_plot <- shiny::renderPlot({
+        tryCatch(
-        visdat::vis_dat(rv$data(),palette = "cb_safe")
+          {
+            if (!is.null(by_var) && by_var != "" && by_var %in% names(df_tbl)) {
+              df_tbl[[by_var]] <- ifelse(is.na(df_tbl[[by_var]]), "Missing", "Non-missing")
+
+              out <- gtsummary::tbl_summary(df_tbl, by = by_var) |>
+                gtsummary::add_p()
+            } else {
+              out <- gtsummary::tbl_summary(df_tbl)
+            }
+          },
+          error = function(err) {
+            showNotification(paste0("Error: ", err), type = "err")
+          }
+        )
+
+        out
+      })
+
+      output$missings_table <- gt::render_gt({
+        shiny::req(datar)
+        shiny::req(variabler)
+
+        if (is.null(variabler()) || variabler() == "" || !variabler() %in% names(datar())) {
+          title <- "No missing observations"
+        } else {
+          title <- paste("Missing vs non-missing observations in", variabler())
+        }
+
+        rv$data() |>
+          gtsummary::as_gt() |>
+          gt::tab_header(title = gt::md(title))
       })
     }
   )
@@ -4712,17 +4747,24 @@ missing_demo_app <- function() {
       label = "Browse data",
       width = "100%",
       disabled = FALSE
-    )#,
+    ),
-    # data_missings_ui("data")
+    shiny::selectInput(
+      inputId = "missings_var",
+      label = "Select variable to stratify analysis", choices = c("cyl", "vs")
+    ),
+    data_missings_ui("data")
   )
   server <- function(input, output, session) {
     data_demo <- mtcars
-    data_demo[2:4, "cyl"] <- NA
+    data_demo[sample(1:32, 10), "cyl"] <- NA
+    data_demo[sample(1:32, 8), "vs"] <- NA
+
+    data_missings_server(id = "data", data = data_demo, variable = shiny::reactive(input$missings_var))
 
     observeEvent(input$modal_missings, {
       tryCatch(
         {
-          modal_data_missings(data = data_demo, id = "modal_missings")
+          modal_visual_missings(data = data_demo, id = "modal_missings")
         },
         error = function(err) {
           showNotification(paste0("We encountered the following error browsing your data: ", err), type = "err")
@@ -4736,20 +4778,22 @@ missing_demo_app <- function() {
 missing_demo_app()
 
 
-modal_data_missings <- function(data,
+modal_visual_missings <- function(data,
-                                title = "Show missing pattern",
+                                  title = "Visual overview of data classes and missing observations",
                                   easyClose = TRUE,
                                   size = "xl",
                                   footer = NULL,
                                   ...) {
-
   datar <- if (is.reactive(data)) data else reactive(data)
 
   showModal(modalDialog(
     title = tagList(title, datamods:::button_close_modal()),
     tags$div(
+      # apexcharter::renderApexchart({
+      #   missings_apex_plot(datar(), ...)
+      # })
       shiny::renderPlot({
-        visdat::vis_dat(datar())+
+        visdat::vis_dat(datar(),sort_type = FALSE) +
           ggplot2::guides(fill = ggplot2::guide_legend(title = "Data class")) +
           # ggplot2::theme_void() +
           ggplot2::theme(
@@ -4758,7 +4802,7 @@ modal_data_missings <- function(data,
             panel.grid.minor = ggplot2::element_blank(),
             # axis.text.y = element_blank(),
             # axis.title.y = element_blank(),
-            text = ggplot2::element_text(size = 15),
+            text = ggplot2::element_text(size = 18),
             # axis.text = ggplot2::element_blank(),
             # panel.background = ggplot2::element_rect(fill = "white"),
             # plot.background = ggplot2::element_rect(fill = "white"),
@@ -4774,6 +4818,102 @@ modal_data_missings <- function(data,
 }
 
 
+## Slow with many observations...
+
+#' Plot missings and class with apexcharter
+#'
+#' @param data data frame
+#'
+#' @returns An [apexchart()] `htmlwidget` object.
+#' @export
+#'
+#' @examples
+#' data_demo <- mtcars
+#' data_demo[2:4, "cyl"] <- NA
+#' rbind(data_demo, data_demo, data_demo, data_demo) |> missings_apex_plot()
+#' data_demo |> missings_apex_plot()
+#' mtcars |> missings_apex_plot(animation = TRUE)
+#' # dplyr::storms |> missings_apex_plot()
+#' visdat::vis_dat(dplyr::storms)
+missings_apex_plot <- function(data, animation = FALSE, ...) {
+  browser()
+
+  df_plot <- purrr::map_df(data, \(x){
+    ifelse(is.na(x),
+      yes = NA,
+      no = glue::glue_collapse(class(x),
+        sep = "\n"
+      )
+    )
+  }) %>%
+    dplyr::mutate(rows = dplyr::row_number()) %>%
+    tidyr::pivot_longer(
+      cols = -rows,
+      names_to = "variable", values_to = "valueType", values_transform = list(valueType = as.character)
+    ) %>%
+    dplyr::arrange(rows, variable, valueType)
+
+
+  df_plot$valueType_num <- df_plot$valueType |>
+    forcats::as_factor() |>
+    as.numeric()
+
+
+  df_plot$valueType[is.na(df_plot$valueType)] <- "NA"
+  df_plot$valueType_num[is.na(df_plot$valueType_num)] <- max(df_plot$valueType_num, na.rm = TRUE) + 1
+
+  labels <- setNames(unique(df_plot$valueType_num), unique(df_plot$valueType))
+
+  if (any(df_plot$valueType == "NA")) {
+    colors <- setNames(c(viridisLite::viridis(n = length(labels) - 1), "#999999"), names(labels))
+  } else {
+    colors <- setNames(viridisLite::viridis(n = length(labels)), names(labels))
+  }
+
+
+  label_list <- labels |>
+    purrr::imap(\(.x, .i){
+      list(
+        from = .x,
+        to = .x,
+        color = colors[[.i]],
+        name = .i
+      )
+    }) |>
+    setNames(NULL)
+
+  out <- apexcharter::apex(
+    data = df_plot,
+    type = "heatmap",
+    mapping = apexcharter::aes(x = variable, y = rows, fill = valueType_num),
+    ...
+  ) %>%
+    apexcharter::ax_stroke(width = NULL) |>
+    apexcharter::ax_plotOptions(
+      heatmap = apexcharter::heatmap_opts(
+        radius = 0,
+        enableShades = FALSE,
+        colorScale = list(
+          ranges = label_list
+        ),
+        useFillColorAsStroke = TRUE
+      )
+    ) %>%
+    apexcharter::ax_dataLabels(enabled = FALSE) |>
+    apexcharter::ax_tooltip(
+      enabled = FALSE,
+      intersect = FALSE
+    )
+
+  if (!isTRUE(animation)) {
+    out <- out |>
+      apexcharter::ax_chart(animations = list(enabled = FALSE))
+  }
+
+  out
+}
+
+
 ########
 #### Current file: /Users/au301842/FreesearchR/R//plot_box.R 
 ########
@@ -5543,18 +5683,25 @@ m_redcap_readUI <- function(id, title = TRUE, url = NULL) {
   }
 
   server_ui <- shiny::tagList(
-    # width = 6,
     shiny::tags$h4("REDCap server"),
     shiny::textInput(
       inputId = ns("uri"),
       label = "Web address",
-      value = if_not_missing(url, "https://redcap.your.institution/")
+      value = if_not_missing(url, "https://redcap.your.institution/"),
+      width = "100%"
     ),
     shiny::helpText("Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'"),
-    shiny::textInput(
+    # shiny::textInput(
+    #   inputId = ns("api"),
+    #   label = "API token",
+    #   value = "",
+    #   width = "100%"
+    # ),
+    shiny::passwordInput(
       inputId = ns("api"),
       label = "API token",
-      value = ""
+      value = "",
+      width = "100%"
     ),
     shiny::helpText("The token is a string of 32 numbers and letters."),
     shiny::br(),
@@ -5592,10 +5739,13 @@ m_redcap_readUI <- function(id, title = TRUE, url = NULL) {
 
   params_ui <-
     shiny::tagList(
-      # width = 6,
       shiny::tags$h4("Data import parameters"),
-      shiny::helpText("Options here will show, when API and uri are typed"),
+      shiny::tags$div(
-      shiny::tags$br(),
+        style = htmltools::css(
+          display = "grid",
+          gridTemplateColumns = "1fr 50px",
+          gridColumnGap = "10px"
+        ),
         shiny::uiOutput(outputId = ns("fields")),
         shiny::tags$div(
           class = "shiny-input-container",
@@ -5608,15 +5758,15 @@ m_redcap_readUI <- function(id, title = TRUE, url = NULL) {
           shinyWidgets::dropMenu(
             shiny::actionButton(
               inputId = ns("dropdown_params"),
-            label = "Add data filters",
+              label = shiny::icon("filter"),
-            icon = shiny::icon("filter"),
+              width = "50px"
-            width = "100%",
-            class = "px-1"
             ),
             filter_ui
+          )
+        )
       ),
-        shiny::helpText("Optionally filter project arms if logitudinal or apply server side data filters")
+      shiny::helpText("Select fields/variables to import and click the funnel to apply optional filters"),
-      ),
+      shiny::tags$br(),
       shiny::tags$br(),
       shiny::uiOutput(outputId = ns("data_type")),
       shiny::uiOutput(outputId = ns("fill")),
@@ -5637,28 +5787,14 @@ m_redcap_readUI <- function(id, title = TRUE, url = NULL) {
           tags$p(phosphoricons::ph("info", weight = "bold"), "Please specify data to download, then press 'Import'.")
         ),
         dismissible = TRUE
-      ) # ,
+      )
-      ## TODO: Use busy indicator like on download to have button activate/deactivate
-      # bslib::input_task_button(
-      #   id = ns("data_import"),
-      #   label = "Import",
-      #   icon = shiny::icon("download", lib = "glyphicon"),
-      #   label_busy = "Just a minute...",
-      #   icon_busy = fontawesome::fa_i("arrows-rotate",
-      #     class = "fa-spin",
-      #     "aria-hidden" = "true"
-      #   ),
-      #   type = "primary",
-      #   auto_reset = TRUE#,state="busy"
-      # ),
-      # shiny::br(),
-      # shiny::helpText("Press 'Import' to get data from the REDCap server. Check the preview below before proceeding.")
     )
 
 
   shiny::fluidPage(
     title = title,
     server_ui,
+    # shiny::uiOutput(ns("params_ui")),
     shiny::conditionalPanel(
       condition = "output.connect_success == true",
       params_ui,
@@ -5782,6 +5918,7 @@ m_redcap_readServer <- function(id) {
     output$connect_success <- shiny::reactive(identical(data_rv$dd_status, "success"))
     shiny::outputOptions(output, "connect_success", suspendWhenHidden = FALSE)
 
+
     shiny::observeEvent(input$see_dd, {
       show_data(
         purrr::pluck(data_rv$dd_list, "data"),
@@ -5817,7 +5954,7 @@ m_redcap_readServer <- function(id) {
       shiny::req(data_rv$dd_list)
       shinyWidgets::virtualSelectInput(
         inputId = ns("fields"),
-        label = "Select variables to import:",
+        label = "Select fields/variables to import:",
         choices = purrr::pluck(data_rv$dd_list, "data") |>
           dplyr::select(field_name, form_name) |>
           (\(.x){
@@ -5826,7 +5963,8 @@ m_redcap_readServer <- function(id) {
         updateOn = "change",
         multiple = TRUE,
         search = TRUE,
-        showValueAsTags = TRUE
+        showValueAsTags = TRUE,
+        width = "100%"
       )
     })
 
@@ -5835,13 +5973,14 @@ m_redcap_readServer <- function(id) {
       if (isTRUE(data_rv$info$has_repeating_instruments_or_events)) {
         vectorSelectInput(
           inputId = ns("data_type"),
-          label = "Select the data format to import",
+          label = "Specify the data format",
           choices = c(
             "Wide data (One row for each subject)" = "wide",
             "Long data for project with repeating instruments (default REDCap)" = "long"
           ),
           selected = "wide",
-          multiple = FALSE
+          multiple = FALSE,
+          width = "100%"
         )
       }
     })
@@ -5867,7 +6006,8 @@ m_redcap_readServer <- function(id) {
             "No, leave the data as is" = "no"
           ),
           selected = "no",
-          multiple = FALSE
+          multiple = FALSE,
+          width = "100%"
         )
       }
     })
@@ -5887,7 +6027,8 @@ m_redcap_readServer <- function(id) {
           selected = NULL,
           label = "Filter by events/arms",
           choices = stats::setNames(arms()[[3]], arms()[[1]]),
-          multiple = TRUE
+          multiple = TRUE,
+          width = "100%"
         )
       }
     })
@@ -9571,6 +9712,14 @@ ui_elements <- list(
         # ),
         shiny::conditionalPanel(
           condition = "output.data_loaded == true",
+          shiny::br(),
+            shiny::actionButton(
+              inputId = "modal_initial_view",
+              label = "Quick overview",
+              width = "100%",
+              icon = shiny::icon("binoculars"),
+              disabled = FALSE
+            ),
           shiny::br(),
           shiny::br(),
           shiny::h5("Select variables for final import"),
@@ -9590,7 +9739,7 @@ ui_elements <- list(
                 format = shinyWidgets::wNumbFormat(decimals = 0),
                 color = datamods:::get_primary_color()
               ),
-              shiny::helpText("Only include variables with missingness below the specified percentage."),
+              shiny::helpText("Only include variables missing less observations than the specified percentage."),
               shiny::br()
             ),
             shiny::column(
@@ -9601,8 +9750,7 @@ ui_elements <- list(
               shiny::br()
             )
           ),
-          shiny::uiOutput(outputId = "data_info_import", inline = TRUE)
+          shiny::uiOutput(outputId = "data_info_import", inline = TRUE),
-        ),
           shiny::br(),
           shiny::br(),
           shiny::actionButton(
@@ -9614,9 +9762,12 @@ ui_elements <- list(
           ),
           shiny::helpText('After importing, hit "Start" or navigate to the desired tab.'),
           shiny::br(),
-        shiny::br(),
+          shiny::br()
+        ),
         shiny::column(width = 2)
-      )
+      ),
+      shiny::br(),
+      shiny::br()
     )
   ),
   ##############################################################################
@@ -9639,19 +9790,8 @@ ui_elements <- list(
               width = 9,
               shiny::uiOutput(outputId = "data_info", inline = TRUE),
               shiny::tags$p(
-                "Below is a short summary table, on the right you can click to browse data and create data filters."
+                "Below is a short summary table, on the right you can click to visualise data classes or browse data and create different data filters."
               )
-            )
-          ),
-          fluidRow(
-            shiny::column(
-              width = 9,
-              data_summary_ui(id = "data_summary"),
-              shiny::br(),
-              shiny::br(),
-              shiny::br(),
-              shiny::br(),
-              shiny::br()
             ),
             shiny::column(
               width = 3,
@@ -9670,10 +9810,41 @@ ui_elements <- list(
                 disabled = TRUE
               ),
               shiny::br(),
+              shiny::br()
+            )
+          ),
+          fluidRow(
+            shiny::column(
+              width = 9,
+              data_summary_ui(id = "data_summary"),
               shiny::br(),
+              shiny::br(),
+              shiny::br(),
+              shiny::br(),
+              shiny::br()
+            ),
+            shiny::column(
+              width = 3,
+              # shiny::actionButton(
+              #   inputId = "modal_missings",
+              #   label = "Visual overview",
+              #   width = "100%",
+              #   disabled = TRUE
+              # ),
+              # shiny::br(),
+              # shiny::br(),
+              # shiny::actionButton(
+              #   inputId = "modal_browse",
+              #   label = "Browse data",
+              #   width = "100%",
+              #   disabled = TRUE
+              # ),
+              # shiny::br(),
+              # shiny::br(),
               shiny::tags$h6("Filter data types"),
               shiny::uiOutput(
-                outputId = "column_filter"),
+                outputId = "column_filter"
+              ),
               shiny::helpText("Read more on how ", tags$a(
                 "data types",
                 href = "https://agdamsbo.github.io/FreesearchR/articles/data-types.html",
@@ -9682,7 +9853,7 @@ ui_elements <- list(
               ), " are defined."),
               shiny::br(),
               shiny::br(),
-              shiny::tags$h6("Create data filters"),
+              shiny::tags$h6("Filter observations"),
               shiny::tags$p("Filter on observation level"),
               IDEAFilter::IDEAFilter_ui("data_filter"),
               shiny::br(),
@@ -9850,6 +10021,13 @@ ui_elements <- list(
                 color = datamods:::get_primary_color()
               ),
               shiny::helpText("Set the cut-off for considered 'highly correlated'.")
+            ),
+            bslib::accordion_panel(
+              vlaue = "acc_mis",
+              title = "Missings",
+              icon = bsicons::bs_icon("x-circle"),
+              shiny::uiOutput("missings_var"),
+              shiny::helpText("To consider if daata 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.")
             )
           )
         ),
@@ -9860,6 +10038,10 @@ ui_elements <- list(
         bslib::nav_panel(
           title = "Correlations",
           data_correlations_ui(id = "correlations", height = 600)
+        ),
+        bslib::nav_panel(
+          title = "Missings",
+          data_missings_ui(id = "missingness")
         )
       )
     ),
@@ -10089,9 +10271,6 @@ ui <- bslib::page_fixed(
 #### Current file: /Users/au301842/FreesearchR/app/server.R 
 ########
 
-
-
-
 data(mtcars)
 
 # trial <- gtsummary::trial
@@ -10231,6 +10410,21 @@ server <- function(input, output, session) {
     rv$code <- modifyList(x = rv$code, list(import = from_env$name()))
   })
 
+  observeEvent(input$modal_initial_view, {
+    tryCatch(
+      {
+        modal_visual_missings(
+          data = default_parsing(rv$data_temp),
+          footer = NULL,
+          size = "xl"
+        )
+      },
+      error = function(err) {
+        showNotification(paste0("We encountered the following error showing missingness: ", err), type = "err")
+      }
+    )
+  })
+
   output$import_var <- shiny::renderUI({
     shiny::req(rv$data_temp)
 
@@ -10550,8 +10744,11 @@ server <- function(input, output, session) {
   observeEvent(input$modal_missings, {
     tryCatch(
       {
-        modal_data_missings(data = REDCapCAST::fct_drop(rv$data_filtered),
+        modal_visual_missings(
-                            footer = "This pop-up gives you 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 = REDCapCAST::fct_drop(rv$data_filtered),
+          footer = "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.",
+          size = "xl"
+        )
       },
       error = function(err) {
         showNotification(paste0("We encountered the following error showing missingness: ", err), type = "err")
@@ -10711,6 +10908,16 @@ server <- function(input, output, session) {
     }
   )
 
+  output$table1 <- gt::render_gt({
+    if (!is.null(rv$list$table1)) {
+      rv$list$table1 |>
+        gtsummary::as_gt() |>
+        gt::tab_header(gt::md("**Table 1: Baseline Characteristics**"))
+    } else {
+      return(NULL)
+    }
+  })
+
   output$outcome_var_cor <- shiny::renderUI({
     columnSelectInput(
       inputId = "outcome_var_cor",
@@ -10725,16 +10932,6 @@ server <- function(input, output, session) {
     )
   })
 
-  output$table1 <- gt::render_gt({
-    if (!is.null(rv$list$table1)) {
-      rv$list$table1 |>
-        gtsummary::as_gt() |>
-        gt::tab_header(gt::md("**Table 1: Baseline Characteristics**"))
-    } else {
-      return(NULL)
-    }
-  })
-
   data_correlations_server(
     id = "correlations",
     data = shiny::reactive({
@@ -10748,6 +10945,24 @@ server <- function(input, output, session) {
     cutoff = shiny::reactive(input$cor_cutoff)
   )
 
+  output$missings_var <- shiny::renderUI({
+    columnSelectInput(
+      inputId = "missings_var",
+      label = "Select variable to stratify analysis",
+      data = shiny::reactive({
+        shiny::req(rv$data_filtered)
+        rv$data_filtered[apply(rv$data_filtered,2,anyNA)]
+      })()
+    )
+  })
+
+  data_missings_server(
+    id = "missingness",
+    data = shiny::reactive(rv$data_filtered),
+    variable = shiny::reactive(input$missings_var)
+  )
+
+
   ##############################################################################
   #########
   #########  Data visuals

man/data-missings.Rd

@@ -8,7 +8,7 @@
 \usage{
 data_missings_ui(id)
 
-data_missings_server(id, data, ...)
+data_missings_server(id, data, variable, ...)
 }
 \arguments{
 \item{id}{Module id}

man/missings_apex_plot.Rd

@@ -0,0 +1,26 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/missings-module.R
+\name{missings_apex_plot}
+\alias{missings_apex_plot}
+\title{Plot missings and class with apexcharter}
+\usage{
+missings_apex_plot(data, animation = FALSE, ...)
+}
+\arguments{
+\item{data}{data frame}
+}
+\value{
+An \code{\link[=apexchart]{apexchart()}} \code{htmlwidget} object.
+}
+\description{
+Plot missings and class with apexcharter
+}
+\examples{
+data_demo <- mtcars
+data_demo[2:4, "cyl"] <- NA
+rbind(data_demo, data_demo, data_demo, data_demo) |> missings_apex_plot()
+data_demo |> missings_apex_plot()
+mtcars |> missings_apex_plot(animation = TRUE)
+# dplyr::storms |> missings_apex_plot()
+visdat::vis_dat(dplyr::storms)
+}

renv.lock

@@ -8917,6 +8917,54 @@
       "Author": "Simon Garnier [aut, cre], Noam Ross [ctb, cph], Bob Rudis [ctb, cph], Marco Sciaini [ctb, cph], Antônio Pedro Camargo [ctb, cph], Cédric Scherer [ctb, cph]",
       "Repository": "CRAN"
     },
+    "visdat": {
+      "Package": "visdat",
+      "Version": "0.6.0",
+      "Source": "Repository",
+      "Title": "Preliminary Visualisation of Data",
+      "Authors@R": "c( person(\"Nicholas\", \"Tierney\", role = c(\"aut\", \"cre\"), email = \"nicholas.tierney@gmail.com\",  comment = c(ORCID = \"https://orcid.org/0000-0003-1460-8722\")), person(\"Sean\", \"Hughes\", role = \"rev\",  comment =c(ORCID = \"https://orcid.org/0000-0002-9409-9405\", \"Sean Hughes reviewed the package for rOpenSci,  see https://github.com/ropensci/onboarding/issues/87\")), person(\"Mara\", \"Averick\", role = \"rev\",  comment = \"Mara Averick reviewed the package for rOpenSci, see  https://github.com/ropensci/onboarding/issues/87\"), person(\"Stuart\", \"Lee\", role = c(\"ctb\")), person(\"Earo\", \"Wang\", role = c(\"ctb\")), person(\"Nic\", \"Crane\", role = c(\"ctb\")), person(\"Christophe\", \"Regouby\", role=c(\"ctb\")) )",
+      "Description": "Create preliminary exploratory data visualisations of an entire  dataset to identify problems or unexpected features using 'ggplot2'.",
+      "Depends": [
+        "R (>= 3.2.2)"
+      ],
+      "License": "MIT + file LICENSE",
+      "LazyData": "true",
+      "RoxygenNote": "7.2.3",
+      "Imports": [
+        "ggplot2",
+        "tidyr",
+        "dplyr",
+        "purrr",
+        "readr",
+        "magrittr",
+        "stats",
+        "tibble",
+        "glue",
+        "forcats",
+        "cli",
+        "scales"
+      ],
+      "URL": "https://docs.ropensci.org/visdat/, https://github.com/ropensci/visdat",
+      "BugReports": "https://github.com/ropensci/visdat/issues",
+      "Suggests": [
+        "testthat (>= 3.0.0)",
+        "plotly (>= 4.5.6)",
+        "knitr",
+        "rmarkdown",
+        "vdiffr",
+        "spelling",
+        "covr",
+        "stringr"
+      ],
+      "VignetteBuilder": "knitr",
+      "Encoding": "UTF-8",
+      "Language": "en-US",
+      "Config/testthat/edition": "3",
+      "NeedsCompilation": "no",
+      "Author": "Nicholas Tierney [aut, cre] (<https://orcid.org/0000-0003-1460-8722>), Sean Hughes [rev] (<https://orcid.org/0000-0002-9409-9405>, Sean Hughes reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/87), Mara Averick [rev] (Mara Averick reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/87), Stuart Lee [ctb], Earo Wang [ctb], Nic Crane [ctb], Christophe Regouby [ctb]",
+      "Maintainer": "Nicholas Tierney <nicholas.tierney@gmail.com>",
+      "Repository": "CRAN"
+    },
     "vroom": {
       "Package": "vroom",
       "Version": "1.6.5",