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18 changed files with 841 additions and 159 deletions
36
CITATION.cff
36
CITATION.cff
|
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@ -8,7 +8,7 @@ message: 'To cite package "FreesearchR" in publications use:'
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type: software
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license: AGPL-3.0-or-later
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title: 'FreesearchR: Easy data analysis for clinicians'
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version: 25.11.1
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version: 25.12.1
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doi: 10.5281/zenodo.14527429
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identifiers:
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- type: url
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@ -1063,6 +1063,40 @@ references:
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orcid: https://orcid.org/0000-0002-7559-1154
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year: '2025'
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doi: 10.32614/CRAN.package.stRoke
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- type: software
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title: data.table
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abstract: 'data.table: Extension of `data.frame`'
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notes: Imports
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url: https://r-datatable.com
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repository: https://CRAN.R-project.org/package=data.table
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authors:
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- family-names: Barrett
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given-names: Tyson
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email: t.barrett88@gmail.com
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orcid: https://orcid.org/0000-0002-2137-1391
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- family-names: Dowle
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given-names: Matt
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email: mattjdowle@gmail.com
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- family-names: Srinivasan
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given-names: Arun
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email: asrini@pm.me
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- family-names: Gorecki
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given-names: Jan
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- family-names: Chirico
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given-names: Michael
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orcid: https://orcid.org/0000-0003-0787-087X
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- family-names: Hocking
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given-names: Toby
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orcid: https://orcid.org/0000-0002-3146-0865
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- family-names: Schwendinger
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given-names: Benjamin
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orcid: https://orcid.org/0000-0003-3315-8114
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- family-names: Krylov
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given-names: Ivan
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email: ikrylov@disroot.org
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orcid: https://orcid.org/0000-0002-0172-3812
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year: '2025'
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doi: 10.32614/CRAN.package.data.table
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- type: software
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title: styler
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abstract: 'styler: Non-Invasive Pretty Printing of R Code'
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@ -1,6 +1,6 @@
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Package: FreesearchR
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Title: Easy data analysis for clinicians
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Version: 25.11.2
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Version: 25.12.1
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Authors@R: c(
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person("Andreas Gammelgaard", "Damsbo",email="agdamsbo@clin.au.dk", role = c("aut", "cre"),
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comment = c(ORCID = "0000-0002-7559-1154")),
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@ -51,6 +51,7 @@ export(default_parsing)
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export(detect_delimiter)
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export(drop_empty_event)
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export(expression_string)
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export(factor_new_levels_labels)
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export(factorize)
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export(file_export)
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export(format_writer)
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@ -148,6 +149,7 @@ export(symmetrical_scale_x_log10)
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export(tbl_merge)
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export(type_icons)
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export(ui_elements)
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export(unique_names)
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export(unique_short)
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export(update_factor_server)
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export(update_factor_ui)
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|
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8
NEWS.md
8
NEWS.md
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@ -1,3 +1,11 @@
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# FreesearchR 25.12.1
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*NEW* Option to edit factor label names in the "New factor" pop-up. This allows for easier naming for tables, but also to combine levels. A new variable is appended to the dataset if label names are changed. Code is now also exported.
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*FIX* Fixes a bug, where white space in code exported was removed. Now a little too many spaces are included. Fine tuning continues.
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*NEW* Easily copy code by just clicking "copy" in code blocks.
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# FreesearchR 25.11.2
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*NEW* Vignettes were moved to the [FreesearchR project knowledge base](https://freesearchr.github.io/FreesearchR-knowledge/). This was mainly to ease rendering and allow quick and easy updates as well as future translations.
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|
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@ -1 +1 @@
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app_version <- function()'25.11.2'
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app_version <- function()'25.12.1'
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|
|
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@ -374,7 +374,11 @@ cut_variable_server <- function(id, data_r = reactive(NULL)) {
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}
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)
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data <- append_column(data, column = new_variable, name = paste0(variable, "_cut"), index = "right")
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data <- append_column(data,
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column = new_variable,
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name = unique_names(paste0(variable, "_cut"),
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existing = names(data)),
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index = "right")
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code <- rlang::call2(
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"append_column",
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|
|
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70
R/helpers.R
70
R/helpers.R
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@ -515,18 +515,82 @@ pipe_string <- function(data, collapse = "|>\n") {
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#' @examples
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#' list(
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#' as.symbol(paste0("mtcars$", "mpg")),
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#' rlang::call2(.fn = "select", !!!list(c("cyl", "disp")), .ns = "dplyr"),
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#' rlang::call2(.fn = "select", !!!list(c("cyl", "di sp")), .ns = "dplyr"),
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#' rlang::call2(.fn = "default_parsing", .ns = "FreesearchR")
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#' ) |>
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#' merge_expression() |>
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#' expression_string()
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expression_string <- function(data, assign.str = "") {
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exp.str <- if (is.call(data)) deparse(data) else data
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# browser()
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out <- paste0(assign.str, gsub("%>%", "|>\n", paste(gsub('"', "'", paste(exp.str, collapse = "")), collapse = "")))
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gsub(" |`", "", out)
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out <- collapse_spaces(out,preserve_newlines = FALSE)
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gsub("`", "", out)
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}
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#' Substitue spaces/tabs with single space excluding text within quotes
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#'
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#' @description
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#' Written assisted by Claude.ai. It is long and possibly too complicated,
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#' but it works
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#'
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#'
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#' @param x character string
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#' @param preserve_newlines flag to preserve new lines
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#'
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#' @returns character string
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#'
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#' @examples
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#' collapse_spaces(c("cyl", "di sp","s e d","d e'dl e'"))
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collapse_spaces <- function(x, preserve_newlines = TRUE) {
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# Function to process a single string
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process_string <- function(text) {
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# Pattern to match single-quoted strings
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quote_pattern <- "'[^']*'"
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# Find all quoted strings and their positions
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quotes <- gregexpr(quote_pattern, text, perl = TRUE)[[1]]
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if (quotes[1] == -1) {
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# No quoted strings, process entire text
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if (preserve_newlines) {
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return(gsub("[ \\t]{1,}", " ", text))
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} else {
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return(gsub("\\s{1,}", " ", text))
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}
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}
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# Extract quoted strings
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quote_lengths <- attr(quotes, "match.length")
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quoted_parts <- substring(text, quotes, quotes + quote_lengths - 1)
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# Create placeholders
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placeholders <- paste0("__QUOTE_", seq_along(quoted_parts), "__")
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# Replace quoted strings with placeholders
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result <- text
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for (i in seq_along(quoted_parts)) {
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result <- sub(quote_pattern, placeholders[i], result, perl = TRUE)
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}
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# Collapse spaces in non-quoted parts
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if (preserve_newlines) {
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result <- gsub("[ \\t]{2,}", "", result)
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} else {
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result <- gsub("\\s{2,}", "", result)
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}
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# Restore quoted strings
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for (i in seq_along(quoted_parts)) {
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result <- sub(placeholders[i], quoted_parts[i], result, fixed = TRUE)
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}
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return(result)
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}
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# Apply to each element of vector
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sapply(x, process_string, USE.NAMES = FALSE)
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}
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#' Very simple function to remove nested lists, like when uploading .rds
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#'
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|
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@ -1 +1 @@
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hosted_version <- function()'v25.11.2-251119'
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hosted_version <- function()'v25.12.1-251202'
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|
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@ -11,15 +11,25 @@ prismCodeBlock <- function(code) {
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prismDependencies <- tags$head(
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tags$script(src = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.8.4/prism.min.js"),
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tags$link(rel = "stylesheet", type = "text/css",
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href = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.8.4/themes/prism.min.css")
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tags$link(
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rel = "stylesheet", type = "text/css",
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href = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.8.4/themes/prism.min.css"
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),
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tags$script(src = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.8.4/components/prism-r.min.js"),
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tags$link(
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rel = "stylesheet",
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href = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.29.0/plugins/toolbar/prism-toolbar.min.css"
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),
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tags$script(
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src = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.29.0/plugins/toolbar/prism-toolbar.min.js"
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),
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tags$script(
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src = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.29.0/plugins/copy-to-clipboard/prism-copy-to-clipboard.min.js"
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)
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)
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prismRDependency <- tags$head(
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tags$script(src = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.8.4/components/prism-r.min.js")
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)
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html_code_wrap <- function(string,lang="r"){
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html_code_wrap <- function(string, lang = "r") {
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glue::glue("<pre><code class='language-{lang}'>{string}
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</code></pre>")
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}
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|
|
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BIN
R/sysdata.rda
BIN
R/sysdata.rda
Binary file not shown.
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@ -1,4 +1,3 @@
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## Works, but not implemented
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##
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## These edits mainly allows for
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@ -101,7 +100,6 @@ update_factor_server <- function(id, data_r = reactive(NULL)) {
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moduleServer(
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id,
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function(input, output, session) {
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rv <- reactiveValues(data = NULL, data_grid = NULL)
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bindEvent(observe({
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@ -207,19 +205,37 @@ update_factor_server <- function(id, data_r = reactive(NULL)) {
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data <- req(data_r())
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variable <- req(input$variable)
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grid <- req(input$grid_data)
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name_var <- if (isTRUE(input$new_var)) {
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paste0(variable, "_updated")
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} else {
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variable
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}
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data[[name_var]] <- factor(
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as.character(data[[variable]]),
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levels = grid[["Var1"]]
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parameters <- list(
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variable = variable,
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new_variable = isTRUE(input$new_var) | any(grid[["Var1_toset"]] == "New label"),
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new_levels = as.character(grid[["Var1"]]),
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new_labels = as.character(grid[["Var1_toset"]]),
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ignore = "New label"
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)
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data[[name_var]] <- factor(
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data[[variable]],
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labels = ifelse(grid[["Var1_toset"]]=="New label",grid[["Var1"]],grid[["Var1_toset"]])
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data <- tryCatch(
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{
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rlang::exec(
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factor_new_levels_labels,
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!!!modifyList(parameters,
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val = list(data = data)
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)
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)
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},
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error = function(err) {
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showNotification(paste("We encountered the following error creating the new factor:", err), type = "err")
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}
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)
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# browser()
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code <- rlang::call2(
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"factor_new_levels_labels",
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!!!parameters,
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.ns = "FreesearchR"
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)
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attr(data, "code") <- code
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|
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data
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})
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@ -231,6 +247,62 @@ update_factor_server <- function(id, data_r = reactive(NULL)) {
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)
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}
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#' Simple function to apply new levels and/or labels to factor
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#'
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#' @param variable factor variable
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#' @param new_level new levels, same length as original
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#' @param new_label new labels, same length as original
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#' @param ignore character string to ignore in new labels
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#'
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#' @returns factor
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#' @export
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#'
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#' @examples
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#' data_n <- mtcars
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#' data_n$cyl <- factor(data_n$cyl)
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#' factor_new_levels_labels(data_n, "cyl", new_labels = c("four", "New label", "New label"))
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factor_new_levels_labels <- function(
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data,
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variable,
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new_variable = TRUE,
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new_levels = NULL,
|
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new_labels = NULL,
|
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ignore = "New label") {
|
||||
if (!is.factor(data[[variable]])) {
|
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return(data)
|
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}
|
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|
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if (is.null(new_levels)) {
|
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new_levels <- levels(data[[variable]])
|
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}
|
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|
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if (is.null(new_labels)) {
|
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new_labels <- labels(data[[variable]])
|
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}
|
||||
|
||||
with_level <- factor(
|
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as.character(data[[variable]]),
|
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levels = new_levels
|
||||
)
|
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with_label <- factor(
|
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with_level,
|
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labels = ifelse(new_labels == "New label", new_levels, new_labels)
|
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)
|
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|
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# browser()
|
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|
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if (isTRUE(new_variable)) {
|
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append_column(
|
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data = data,
|
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column = with_label,
|
||||
name = unique_names(new = paste0(variable, "_updated"), existing = names(data))
|
||||
)
|
||||
} else {
|
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data[[variable]] <- new_variable
|
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data
|
||||
}
|
||||
}
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||||
|
||||
|
||||
|
||||
#' @inheritParams shiny::modalDialog
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||||
|
|
@ -289,3 +361,22 @@ winbox_update_factor <- function(id,
|
|||
)
|
||||
}
|
||||
|
||||
|
||||
#' Make unique variable names
|
||||
#'
|
||||
#' Helper function to create new variable names that are unique
|
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#' given a set of existing names (in a data set, for example).
|
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#' If a variable name already exists, a number will be appended.
|
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#'
|
||||
#' @param new a vector of proposed new variable names
|
||||
#' @param existing a vector of existing variable names
|
||||
#' @return a vector of unique new variable names
|
||||
#' @examples
|
||||
#' unique_names(c("var_x", "var_y", "var_x"), c("var_x", "var_z"))
|
||||
#'
|
||||
#' @export
|
||||
unique_names <- function(new, existing = character()) {
|
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new_names <- make.unique(c(existing, new), sep = "_")
|
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|
||||
new_names[-seq_along(existing)]
|
||||
}
|
||||
|
|
|
|||
34
SESSION.md
34
SESSION.md
|
|
@ -1,21 +1,21 @@
|
|||
--------------------------------------------------------------------------------
|
||||
-------------------------------- R environment ---------------------------------
|
||||
--------------------------------------------------------------------------------
|
||||
|setting |value |
|
||||
|:-----------|:------------------------------------------|
|
||||
|version |R version 4.4.1 (2024-06-14) |
|
||||
|os |macOS 15.7.1 |
|
||||
|system |aarch64, darwin20 |
|
||||
|ui |RStudio |
|
||||
|language |(EN) |
|
||||
|collate |en_US.UTF-8 |
|
||||
|ctype |en_US.UTF-8 |
|
||||
|tz |Europe/Copenhagen |
|
||||
|date |2025-11-09 |
|
||||
|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 |25.11.1.251109 |
|
||||
|setting |value |
|
||||
|:-----------|:----------------------------------------------|
|
||||
|version |R version 4.4.1 (2024-06-14) |
|
||||
|os |macOS 26.1 |
|
||||
|system |aarch64, darwin20 |
|
||||
|ui |RStudio |
|
||||
|language |(EN) |
|
||||
|collate |en_US.UTF-8 |
|
||||
|ctype |en_US.UTF-8 |
|
||||
|tz |Europe/Copenhagen |
|
||||
|date |2025-12-02 |
|
||||
|rstudio |2025.09.2+418 Cucumberleaf Sunflower (desktop) |
|
||||
|pandoc |3.6.4 @ /opt/homebrew/bin/ (via rmarkdown) |
|
||||
|quarto |1.7.30 @ /usr/local/bin/quarto |
|
||||
|FreesearchR |25.12.1.251202 |
|
||||
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
|
|
@ -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 |25.11.1 |NA |NA |
|
||||
|FreesearchR |25.12.1 |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) |
|
||||
|
|
@ -117,11 +117,9 @@
|
|||
|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) |
|
||||
|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 |RSPM (R 4.4.0) |
|
||||
|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 |RSPM (R 4.4.0) |
|
||||
|memoise |2.0.1 |2021-11-26 |CRAN (R 4.4.0) |
|
||||
|
|
|
|||
269
app_docker/app.R
269
app_docker/app.R
|
|
@ -1,7 +1,7 @@
|
|||
|
||||
|
||||
########
|
||||
#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmpFr1XvR/file15f634a33505f.R
|
||||
#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmpyM6210/file126781ad7585e.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()'25.11.1'
|
||||
app_version <- function()'25.12.1'
|
||||
|
||||
|
||||
########
|
||||
|
|
@ -1656,7 +1656,11 @@ cut_variable_server <- function(id, data_r = reactive(NULL)) {
|
|||
}
|
||||
)
|
||||
|
||||
data <- append_column(data, column = new_variable, name = paste0(variable, "_cut"), index = "right")
|
||||
data <- append_column(data,
|
||||
column = new_variable,
|
||||
name = unique_names(paste0(variable, "_cut"),
|
||||
existing = names(data)),
|
||||
index = "right")
|
||||
|
||||
code <- rlang::call2(
|
||||
"append_column",
|
||||
|
|
@ -4060,18 +4064,82 @@ pipe_string <- function(data, collapse = "|>\n") {
|
|||
#' @examples
|
||||
#' list(
|
||||
#' as.symbol(paste0("mtcars$", "mpg")),
|
||||
#' rlang::call2(.fn = "select", !!!list(c("cyl", "disp")), .ns = "dplyr"),
|
||||
#' rlang::call2(.fn = "select", !!!list(c("cyl", "di sp")), .ns = "dplyr"),
|
||||
#' rlang::call2(.fn = "default_parsing", .ns = "FreesearchR")
|
||||
#' ) |>
|
||||
#' merge_expression() |>
|
||||
#' expression_string()
|
||||
expression_string <- function(data, assign.str = "") {
|
||||
exp.str <- if (is.call(data)) deparse(data) else data
|
||||
# browser()
|
||||
|
||||
out <- paste0(assign.str, gsub("%>%", "|>\n", paste(gsub('"', "'", paste(exp.str, collapse = "")), collapse = "")))
|
||||
gsub(" |`", "", out)
|
||||
out <- collapse_spaces(out,preserve_newlines = FALSE)
|
||||
gsub("`", "", out)
|
||||
}
|
||||
|
||||
#' Substitue spaces/tabs with single space excluding text within quotes
|
||||
#'
|
||||
#' @description
|
||||
#' Written assisted by Claude.ai. It is long and possibly too complicated,
|
||||
#' but it works
|
||||
#'
|
||||
#'
|
||||
#' @param x character string
|
||||
#' @param preserve_newlines flag to preserve new lines
|
||||
#'
|
||||
#' @returns character string
|
||||
#'
|
||||
#' @examples
|
||||
#' collapse_spaces(c("cyl", "di sp","s e d","d e'dl e'"))
|
||||
collapse_spaces <- function(x, preserve_newlines = TRUE) {
|
||||
# Function to process a single string
|
||||
process_string <- function(text) {
|
||||
# Pattern to match single-quoted strings
|
||||
quote_pattern <- "'[^']*'"
|
||||
|
||||
# Find all quoted strings and their positions
|
||||
quotes <- gregexpr(quote_pattern, text, perl = TRUE)[[1]]
|
||||
|
||||
if (quotes[1] == -1) {
|
||||
# No quoted strings, process entire text
|
||||
if (preserve_newlines) {
|
||||
return(gsub("[ \\t]{1,}", " ", text))
|
||||
} else {
|
||||
return(gsub("\\s{1,}", " ", text))
|
||||
}
|
||||
}
|
||||
|
||||
# Extract quoted strings
|
||||
quote_lengths <- attr(quotes, "match.length")
|
||||
quoted_parts <- substring(text, quotes, quotes + quote_lengths - 1)
|
||||
|
||||
# Create placeholders
|
||||
placeholders <- paste0("__QUOTE_", seq_along(quoted_parts), "__")
|
||||
|
||||
# Replace quoted strings with placeholders
|
||||
result <- text
|
||||
for (i in seq_along(quoted_parts)) {
|
||||
result <- sub(quote_pattern, placeholders[i], result, perl = TRUE)
|
||||
}
|
||||
|
||||
# Collapse spaces in non-quoted parts
|
||||
if (preserve_newlines) {
|
||||
result <- gsub("[ \\t]{2,}", "", result)
|
||||
} else {
|
||||
result <- gsub("\\s{2,}", "", result)
|
||||
}
|
||||
|
||||
# Restore quoted strings
|
||||
for (i in seq_along(quoted_parts)) {
|
||||
result <- sub(placeholders[i], quoted_parts[i], result, fixed = TRUE)
|
||||
}
|
||||
|
||||
return(result)
|
||||
}
|
||||
|
||||
# Apply to each element of vector
|
||||
sapply(x, process_string, USE.NAMES = FALSE)
|
||||
}
|
||||
|
||||
#' Very simple function to remove nested lists, like when uploading .rds
|
||||
#'
|
||||
|
|
@ -4301,7 +4369,7 @@ data_types <- function() {
|
|||
#### Current file: /Users/au301842/FreesearchR/R//hosted_version.R
|
||||
########
|
||||
|
||||
hosted_version <- function()'v25.11.1-251109'
|
||||
hosted_version <- function()'v25.12.1-251202'
|
||||
|
||||
|
||||
########
|
||||
|
|
@ -9413,15 +9481,25 @@ prismCodeBlock <- function(code) {
|
|||
|
||||
prismDependencies <- tags$head(
|
||||
tags$script(src = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.8.4/prism.min.js"),
|
||||
tags$link(rel = "stylesheet", type = "text/css",
|
||||
href = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.8.4/themes/prism.min.css")
|
||||
tags$link(
|
||||
rel = "stylesheet", type = "text/css",
|
||||
href = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.8.4/themes/prism.min.css"
|
||||
),
|
||||
tags$script(src = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.8.4/components/prism-r.min.js"),
|
||||
tags$link(
|
||||
rel = "stylesheet",
|
||||
href = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.29.0/plugins/toolbar/prism-toolbar.min.css"
|
||||
),
|
||||
tags$script(
|
||||
src = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.29.0/plugins/toolbar/prism-toolbar.min.js"
|
||||
),
|
||||
tags$script(
|
||||
src = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.29.0/plugins/copy-to-clipboard/prism-copy-to-clipboard.min.js"
|
||||
)
|
||||
)
|
||||
|
||||
prismRDependency <- tags$head(
|
||||
tags$script(src = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.8.4/components/prism-r.min.js")
|
||||
)
|
||||
|
||||
html_code_wrap <- function(string,lang="r"){
|
||||
html_code_wrap <- function(string, lang = "r") {
|
||||
glue::glue("<pre><code class='language-{lang}'>{string}
|
||||
</code></pre>")
|
||||
}
|
||||
|
|
@ -10222,7 +10300,6 @@ ui_elements <- function(selection) {
|
|||
#### Current file: /Users/au301842/FreesearchR/R//update-factor-ext.R
|
||||
########
|
||||
|
||||
|
||||
## Works, but not implemented
|
||||
##
|
||||
## These edits mainly allows for
|
||||
|
|
@ -10325,7 +10402,6 @@ update_factor_server <- function(id, data_r = reactive(NULL)) {
|
|||
moduleServer(
|
||||
id,
|
||||
function(input, output, session) {
|
||||
|
||||
rv <- reactiveValues(data = NULL, data_grid = NULL)
|
||||
|
||||
bindEvent(observe({
|
||||
|
|
@ -10431,19 +10507,37 @@ update_factor_server <- function(id, data_r = reactive(NULL)) {
|
|||
data <- req(data_r())
|
||||
variable <- req(input$variable)
|
||||
grid <- req(input$grid_data)
|
||||
name_var <- if (isTRUE(input$new_var)) {
|
||||
paste0(variable, "_updated")
|
||||
} else {
|
||||
variable
|
||||
}
|
||||
data[[name_var]] <- factor(
|
||||
as.character(data[[variable]]),
|
||||
levels = grid[["Var1"]]
|
||||
|
||||
parameters <- list(
|
||||
variable = variable,
|
||||
new_variable = isTRUE(input$new_var) | any(grid[["Var1_toset"]] == "New label"),
|
||||
new_levels = as.character(grid[["Var1"]]),
|
||||
new_labels = as.character(grid[["Var1_toset"]]),
|
||||
ignore = "New label"
|
||||
)
|
||||
data[[name_var]] <- factor(
|
||||
data[[variable]],
|
||||
labels = ifelse(grid[["Var1_toset"]]=="New label",grid[["Var1"]],grid[["Var1_toset"]])
|
||||
|
||||
data <- tryCatch(
|
||||
{
|
||||
rlang::exec(
|
||||
factor_new_levels_labels,
|
||||
!!!modifyList(parameters,
|
||||
val = list(data = data)
|
||||
)
|
||||
)
|
||||
},
|
||||
error = function(err) {
|
||||
showNotification(paste("We encountered the following error creating the new factor:", err), type = "err")
|
||||
}
|
||||
)
|
||||
|
||||
# browser()
|
||||
code <- rlang::call2(
|
||||
"factor_new_levels_labels",
|
||||
!!!parameters,
|
||||
.ns = "FreesearchR"
|
||||
)
|
||||
attr(data, "code") <- code
|
||||
|
||||
data
|
||||
})
|
||||
|
||||
|
|
@ -10455,6 +10549,62 @@ update_factor_server <- function(id, data_r = reactive(NULL)) {
|
|||
)
|
||||
}
|
||||
|
||||
#' Simple function to apply new levels and/or labels to factor
|
||||
#'
|
||||
#' @param variable factor variable
|
||||
#' @param new_level new levels, same length as original
|
||||
#' @param new_label new labels, same length as original
|
||||
#' @param ignore character string to ignore in new labels
|
||||
#'
|
||||
#' @returns factor
|
||||
#' @export
|
||||
#'
|
||||
#' @examples
|
||||
#' data_n <- mtcars
|
||||
#' data_n$cyl <- factor(data_n$cyl)
|
||||
#' factor_new_levels_labels(data_n, "cyl", new_labels = c("four", "New label", "New label"))
|
||||
factor_new_levels_labels <- function(
|
||||
data,
|
||||
variable,
|
||||
new_variable = TRUE,
|
||||
new_levels = NULL,
|
||||
new_labels = NULL,
|
||||
ignore = "New label") {
|
||||
if (!is.factor(data[[variable]])) {
|
||||
return(data)
|
||||
}
|
||||
|
||||
if (is.null(new_levels)) {
|
||||
new_levels <- levels(data[[variable]])
|
||||
}
|
||||
|
||||
if (is.null(new_labels)) {
|
||||
new_labels <- labels(data[[variable]])
|
||||
}
|
||||
|
||||
with_level <- factor(
|
||||
as.character(data[[variable]]),
|
||||
levels = new_levels
|
||||
)
|
||||
with_label <- factor(
|
||||
with_level,
|
||||
labels = ifelse(new_labels == "New label", new_levels, new_labels)
|
||||
)
|
||||
|
||||
# browser()
|
||||
|
||||
if (isTRUE(new_variable)) {
|
||||
append_column(
|
||||
data = data,
|
||||
column = with_label,
|
||||
name = unique_names(new = paste0(variable, "_updated"), existing = names(data))
|
||||
)
|
||||
} else {
|
||||
data[[variable]] <- new_variable
|
||||
data
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
#' @inheritParams shiny::modalDialog
|
||||
|
|
@ -10514,6 +10664,25 @@ winbox_update_factor <- function(id,
|
|||
}
|
||||
|
||||
|
||||
#' Make unique variable names
|
||||
#'
|
||||
#' Helper function to create new variable names that are unique
|
||||
#' given a set of existing names (in a data set, for example).
|
||||
#' If a variable name already exists, a number will be appended.
|
||||
#'
|
||||
#' @param new a vector of proposed new variable names
|
||||
#' @param existing a vector of existing variable names
|
||||
#' @return a vector of unique new variable names
|
||||
#' @examples
|
||||
#' unique_names(c("var_x", "var_y", "var_x"), c("var_x", "var_z"))
|
||||
#'
|
||||
#' @export
|
||||
unique_names <- function(new, existing = character()) {
|
||||
new_names <- make.unique(c(existing, new), sep = "_")
|
||||
|
||||
new_names[-seq_along(existing)]
|
||||
}
|
||||
|
||||
|
||||
########
|
||||
#### Current file: /Users/au301842/FreesearchR/R//update-variables-ext.R
|
||||
|
|
@ -11817,7 +11986,6 @@ make_validation_alerts <- function(data) {
|
|||
#' @returns Shiny ui module
|
||||
#' @export
|
||||
#'
|
||||
#' @example examples/visual_summary_demo.R
|
||||
visual_summary_ui <- function(id) {
|
||||
ns <- shiny::NS(id)
|
||||
|
||||
|
|
@ -11911,14 +12079,6 @@ modal_visual_summary <- function(id,
|
|||
#' @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, ...) {
|
||||
l <- data_summary_gather(data, ...)
|
||||
|
||||
|
|
@ -11969,14 +12129,6 @@ missings_apex_plot <- function(data, animation = FALSE, ...) {
|
|||
#' @returns ggplot2 object
|
||||
#' @export
|
||||
#'
|
||||
#' @examples
|
||||
#' data_demo <- mtcars
|
||||
#' data_demo[sample(1:32, 10), "cyl"] <- NA
|
||||
#' data_demo[sample(1:32, 8), "vs"] <- NA
|
||||
#' visual_summary(data_demo)
|
||||
#' visual_summary(data_demo, palette.fun = scales::hue_pal())
|
||||
#' visual_summary(dplyr::storms, summary.fun = data_type)
|
||||
#' visual_summary(dplyr::storms, summary.fun = data_type, na.label = "Missings", legend.title = "Class")
|
||||
visual_summary <- function(data, legend.title = NULL, ylab = "Observations", ...) {
|
||||
l <- data_summary_gather(data, ...)
|
||||
|
||||
|
|
@ -12028,7 +12180,7 @@ visual_summary <- function(data, legend.title = NULL, ylab = "Observations", ...
|
|||
#' @export
|
||||
#'
|
||||
#' @examples
|
||||
#' mtcars |> data_summary_gather()
|
||||
#' mtcars |> data_summary_gather() |> names()
|
||||
data_summary_gather <- function(data, summary.fun = class, palette.fun = viridisLite::viridis, na.label = "NA", ...) {
|
||||
df_plot <- setNames(data, unique_short(names(data))) |>
|
||||
purrr::map_df(\(x){
|
||||
|
|
@ -12308,7 +12460,6 @@ ui <- bslib::page_fixed(
|
|||
usei18n(i18n),
|
||||
## Code formatting dependencies
|
||||
prismDependencies,
|
||||
prismRDependency,
|
||||
# html_dependency_FreesearchR(),
|
||||
## Version dependent header
|
||||
header_include(),
|
||||
|
|
@ -12813,10 +12964,12 @@ server <- function(input, output, session) {
|
|||
|
||||
shiny::observeEvent(
|
||||
input$modal_update,
|
||||
datamods::modal_update_factor(id = "modal_update", title = i18n$t("Reorder factor levels"))
|
||||
# datamods::modal_update_factor(id = "modal_update", title = i18n$t("Reorder factor levels"))
|
||||
modal_update_factor(id = "modal_update", title = i18n$t("Reorder factor levels"))
|
||||
)
|
||||
|
||||
data_modal_update <- datamods::update_factor_server(
|
||||
# data_modal_update <- datamods::update_factor_server(
|
||||
data_modal_update <- update_factor_server(
|
||||
id = "modal_update",
|
||||
data_r = reactive(rv$data)
|
||||
)
|
||||
|
|
@ -13265,17 +13418,19 @@ server <- function(input, output, session) {
|
|||
|
||||
|
||||
output$detail_level <- shiny::renderUI({
|
||||
shiny::radioButtons(
|
||||
inputId = "detail_level",
|
||||
label = i18n$t("Level of detail"),
|
||||
selected = "minimal",
|
||||
inline = TRUE,choiceValues = c("minimal",
|
||||
"extended"),
|
||||
choiceNames = c(
|
||||
i18n$t("Minimal"),
|
||||
i18n$t("Extensive")
|
||||
shiny::radioButtons(
|
||||
inputId = "detail_level",
|
||||
label = i18n$t("Level of detail"),
|
||||
selected = "minimal",
|
||||
inline = TRUE, choiceValues = c(
|
||||
"minimal",
|
||||
"extended"
|
||||
),
|
||||
choiceNames = c(
|
||||
i18n$t("Minimal"),
|
||||
i18n$t("Extensive")
|
||||
)
|
||||
)
|
||||
)
|
||||
})
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
|
||||
|
||||
########
|
||||
#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmpigVRui/file787d74b713ef.R
|
||||
#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmpyM6210/file1267841f7ff86.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()'25.10.5'
|
||||
app_version <- function()'25.12.1'
|
||||
|
||||
|
||||
########
|
||||
|
|
@ -83,7 +83,6 @@ app_version <- function()'25.10.5'
|
|||
#' mtcars |> baseline_table()
|
||||
#' mtcars |> baseline_table(fun.args = list(by = "gear"))
|
||||
baseline_table <- function(data, fun.args = NULL, fun = gtsummary::tbl_summary, vars = NULL) {
|
||||
|
||||
out <- do.call(fun, c(list(data = data), fun.args))
|
||||
return(out)
|
||||
}
|
||||
|
|
@ -94,19 +93,26 @@ baseline_table <- function(data, fun.args = NULL, fun = gtsummary::tbl_summary,
|
|||
#'
|
||||
#' @param data data
|
||||
#' @param ... passed as fun.arg to baseline_table()
|
||||
#' @param strat.var grouping/strat variable
|
||||
#' @param add.p add comparison/p-value
|
||||
#' @param add.overall add overall column
|
||||
#' @param by.var specify stratification variable
|
||||
#' @param theme set table theme
|
||||
#' @param detail_level specify detail level. Either "minimal" or "extended".
|
||||
#'
|
||||
#' @returns gtsummary table list object
|
||||
#' @export
|
||||
#'
|
||||
#' @examples
|
||||
#' mtcars |> create_baseline(by.var = "gear", add.p = "yes" == "yes")
|
||||
#' mtcars |> create_baseline(by.var = "gear", detail_level = "extended")
|
||||
#' mtcars |> create_baseline(by.var = "gear", detail_level = "extended",type = list(gtsummary::all_dichotomous() ~ "categorical"),theme="nejm")
|
||||
#'
|
||||
#' create_baseline(default_parsing(mtcars), by.var = "am", add.p = FALSE, add.overall = FALSE, theme = "lancet")
|
||||
create_baseline <- function(data, ..., by.var, add.p = FALSE, add.overall = FALSE, theme = c("jama", "lancet", "nejm", "qjecon")) {
|
||||
create_baseline <- function(data, ..., by.var, add.p = FALSE, add.overall = FALSE, theme = c("jama", "lancet", "nejm", "qjecon"), detail_level = c("minimal", "extended")) {
|
||||
theme <- match.arg(theme)
|
||||
|
||||
detail_level <- match.arg(detail_level)
|
||||
|
||||
if (by.var == "none" | !by.var %in% names(data)) {
|
||||
by.var <- NULL
|
||||
}
|
||||
|
|
@ -124,11 +130,32 @@ create_baseline <- function(data, ..., by.var, add.p = FALSE, add.overall = FALS
|
|||
|
||||
args <- list(...)
|
||||
|
||||
# browser()
|
||||
|
||||
if (!any(hasName(args, c("type", "statistic")))) {
|
||||
if (detail_level == "extended") {
|
||||
args <-
|
||||
modifyList(
|
||||
args,
|
||||
list(
|
||||
type = list(gtsummary::all_continuous() ~ "continuous2",
|
||||
gtsummary::all_dichotomous() ~ "categorical"),
|
||||
statistic = list(gtsummary::all_continuous() ~ c(
|
||||
"{median} ({p25}, {p75})",
|
||||
"{mean} ({sd})",
|
||||
"{min}, {max}"))
|
||||
)
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
parameters <- list(
|
||||
data = data,
|
||||
fun.args = list(by = by.var, ...)
|
||||
fun.args = purrr::list_flatten(list(by = by.var, args))
|
||||
)
|
||||
|
||||
|
||||
# browser()
|
||||
out <- do.call(
|
||||
baseline_table,
|
||||
parameters
|
||||
|
|
@ -1629,7 +1656,11 @@ cut_variable_server <- function(id, data_r = reactive(NULL)) {
|
|||
}
|
||||
)
|
||||
|
||||
data <- append_column(data, column = new_variable, name = paste0(variable, "_cut"), index = "right")
|
||||
data <- append_column(data,
|
||||
column = new_variable,
|
||||
name = unique_names(paste0(variable, "_cut"),
|
||||
existing = names(data)),
|
||||
index = "right")
|
||||
|
||||
code <- rlang::call2(
|
||||
"append_column",
|
||||
|
|
@ -4033,18 +4064,82 @@ pipe_string <- function(data, collapse = "|>\n") {
|
|||
#' @examples
|
||||
#' list(
|
||||
#' as.symbol(paste0("mtcars$", "mpg")),
|
||||
#' rlang::call2(.fn = "select", !!!list(c("cyl", "disp")), .ns = "dplyr"),
|
||||
#' rlang::call2(.fn = "select", !!!list(c("cyl", "di sp")), .ns = "dplyr"),
|
||||
#' rlang::call2(.fn = "default_parsing", .ns = "FreesearchR")
|
||||
#' ) |>
|
||||
#' merge_expression() |>
|
||||
#' expression_string()
|
||||
expression_string <- function(data, assign.str = "") {
|
||||
exp.str <- if (is.call(data)) deparse(data) else data
|
||||
# browser()
|
||||
|
||||
out <- paste0(assign.str, gsub("%>%", "|>\n", paste(gsub('"', "'", paste(exp.str, collapse = "")), collapse = "")))
|
||||
gsub(" |`", "", out)
|
||||
out <- collapse_spaces(out,preserve_newlines = FALSE)
|
||||
gsub("`", "", out)
|
||||
}
|
||||
|
||||
#' Substitue spaces/tabs with single space excluding text within quotes
|
||||
#'
|
||||
#' @description
|
||||
#' Written assisted by Claude.ai. It is long and possibly too complicated,
|
||||
#' but it works
|
||||
#'
|
||||
#'
|
||||
#' @param x character string
|
||||
#' @param preserve_newlines flag to preserve new lines
|
||||
#'
|
||||
#' @returns character string
|
||||
#'
|
||||
#' @examples
|
||||
#' collapse_spaces(c("cyl", "di sp","s e d","d e'dl e'"))
|
||||
collapse_spaces <- function(x, preserve_newlines = TRUE) {
|
||||
# Function to process a single string
|
||||
process_string <- function(text) {
|
||||
# Pattern to match single-quoted strings
|
||||
quote_pattern <- "'[^']*'"
|
||||
|
||||
# Find all quoted strings and their positions
|
||||
quotes <- gregexpr(quote_pattern, text, perl = TRUE)[[1]]
|
||||
|
||||
if (quotes[1] == -1) {
|
||||
# No quoted strings, process entire text
|
||||
if (preserve_newlines) {
|
||||
return(gsub("[ \\t]{1,}", " ", text))
|
||||
} else {
|
||||
return(gsub("\\s{1,}", " ", text))
|
||||
}
|
||||
}
|
||||
|
||||
# Extract quoted strings
|
||||
quote_lengths <- attr(quotes, "match.length")
|
||||
quoted_parts <- substring(text, quotes, quotes + quote_lengths - 1)
|
||||
|
||||
# Create placeholders
|
||||
placeholders <- paste0("__QUOTE_", seq_along(quoted_parts), "__")
|
||||
|
||||
# Replace quoted strings with placeholders
|
||||
result <- text
|
||||
for (i in seq_along(quoted_parts)) {
|
||||
result <- sub(quote_pattern, placeholders[i], result, perl = TRUE)
|
||||
}
|
||||
|
||||
# Collapse spaces in non-quoted parts
|
||||
if (preserve_newlines) {
|
||||
result <- gsub("[ \\t]{2,}", "", result)
|
||||
} else {
|
||||
result <- gsub("\\s{2,}", "", result)
|
||||
}
|
||||
|
||||
# Restore quoted strings
|
||||
for (i in seq_along(quoted_parts)) {
|
||||
result <- sub(placeholders[i], quoted_parts[i], result, fixed = TRUE)
|
||||
}
|
||||
|
||||
return(result)
|
||||
}
|
||||
|
||||
# Apply to each element of vector
|
||||
sapply(x, process_string, USE.NAMES = FALSE)
|
||||
}
|
||||
|
||||
#' Very simple function to remove nested lists, like when uploading .rds
|
||||
#'
|
||||
|
|
@ -4274,7 +4369,7 @@ data_types <- function() {
|
|||
#### Current file: /Users/au301842/FreesearchR/R//hosted_version.R
|
||||
########
|
||||
|
||||
hosted_version <- function()'v25.10.5-251031'
|
||||
hosted_version <- function()'v25.12.1-251202'
|
||||
|
||||
|
||||
########
|
||||
|
|
@ -9386,15 +9481,25 @@ prismCodeBlock <- function(code) {
|
|||
|
||||
prismDependencies <- tags$head(
|
||||
tags$script(src = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.8.4/prism.min.js"),
|
||||
tags$link(rel = "stylesheet", type = "text/css",
|
||||
href = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.8.4/themes/prism.min.css")
|
||||
tags$link(
|
||||
rel = "stylesheet", type = "text/css",
|
||||
href = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.8.4/themes/prism.min.css"
|
||||
),
|
||||
tags$script(src = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.8.4/components/prism-r.min.js"),
|
||||
tags$link(
|
||||
rel = "stylesheet",
|
||||
href = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.29.0/plugins/toolbar/prism-toolbar.min.css"
|
||||
),
|
||||
tags$script(
|
||||
src = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.29.0/plugins/toolbar/prism-toolbar.min.js"
|
||||
),
|
||||
tags$script(
|
||||
src = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.29.0/plugins/copy-to-clipboard/prism-copy-to-clipboard.min.js"
|
||||
)
|
||||
)
|
||||
|
||||
prismRDependency <- tags$head(
|
||||
tags$script(src = "https://cdnjs.cloudflare.com/ajax/libs/prism/1.8.4/components/prism-r.min.js")
|
||||
)
|
||||
|
||||
html_code_wrap <- function(string,lang="r"){
|
||||
html_code_wrap <- function(string, lang = "r") {
|
||||
glue::glue("<pre><code class='language-{lang}'>{string}
|
||||
</code></pre>")
|
||||
}
|
||||
|
|
@ -9914,6 +10019,17 @@ ui_elements <- function(selection) {
|
|||
value = "acc_pan_chars",
|
||||
title = "Settings",
|
||||
icon = bsicons::bs_icon("table"),
|
||||
# vectorSelectInput(
|
||||
# inputId = "baseline_theme",
|
||||
# selected = "none",
|
||||
# label = i18n$t("Select table theme"),
|
||||
# choices = c(
|
||||
# "The Journal of the American Medical Association" = "jama",
|
||||
# "The Lancet"="lancet",
|
||||
# "The New England Journal of Medicine" = "nejm",
|
||||
# "The Quarterly Journal of Economics" = "qjecon")
|
||||
# ),
|
||||
shiny::uiOutput("detail_level"),
|
||||
shiny::uiOutput("strat_var"),
|
||||
shiny::helpText(i18n$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.")),
|
||||
shiny::conditionalPanel(
|
||||
|
|
@ -10184,7 +10300,6 @@ ui_elements <- function(selection) {
|
|||
#### Current file: /Users/au301842/FreesearchR/R//update-factor-ext.R
|
||||
########
|
||||
|
||||
|
||||
## Works, but not implemented
|
||||
##
|
||||
## These edits mainly allows for
|
||||
|
|
@ -10287,7 +10402,6 @@ update_factor_server <- function(id, data_r = reactive(NULL)) {
|
|||
moduleServer(
|
||||
id,
|
||||
function(input, output, session) {
|
||||
|
||||
rv <- reactiveValues(data = NULL, data_grid = NULL)
|
||||
|
||||
bindEvent(observe({
|
||||
|
|
@ -10393,19 +10507,37 @@ update_factor_server <- function(id, data_r = reactive(NULL)) {
|
|||
data <- req(data_r())
|
||||
variable <- req(input$variable)
|
||||
grid <- req(input$grid_data)
|
||||
name_var <- if (isTRUE(input$new_var)) {
|
||||
paste0(variable, "_updated")
|
||||
} else {
|
||||
variable
|
||||
}
|
||||
data[[name_var]] <- factor(
|
||||
as.character(data[[variable]]),
|
||||
levels = grid[["Var1"]]
|
||||
|
||||
parameters <- list(
|
||||
variable = variable,
|
||||
new_variable = isTRUE(input$new_var) | any(grid[["Var1_toset"]] == "New label"),
|
||||
new_levels = as.character(grid[["Var1"]]),
|
||||
new_labels = as.character(grid[["Var1_toset"]]),
|
||||
ignore = "New label"
|
||||
)
|
||||
data[[name_var]] <- factor(
|
||||
data[[variable]],
|
||||
labels = ifelse(grid[["Var1_toset"]]=="New label",grid[["Var1"]],grid[["Var1_toset"]])
|
||||
|
||||
data <- tryCatch(
|
||||
{
|
||||
rlang::exec(
|
||||
factor_new_levels_labels,
|
||||
!!!modifyList(parameters,
|
||||
val = list(data = data)
|
||||
)
|
||||
)
|
||||
},
|
||||
error = function(err) {
|
||||
showNotification(paste("We encountered the following error creating the new factor:", err), type = "err")
|
||||
}
|
||||
)
|
||||
|
||||
# browser()
|
||||
code <- rlang::call2(
|
||||
"factor_new_levels_labels",
|
||||
!!!parameters,
|
||||
.ns = "FreesearchR"
|
||||
)
|
||||
attr(data, "code") <- code
|
||||
|
||||
data
|
||||
})
|
||||
|
||||
|
|
@ -10417,6 +10549,62 @@ update_factor_server <- function(id, data_r = reactive(NULL)) {
|
|||
)
|
||||
}
|
||||
|
||||
#' Simple function to apply new levels and/or labels to factor
|
||||
#'
|
||||
#' @param variable factor variable
|
||||
#' @param new_level new levels, same length as original
|
||||
#' @param new_label new labels, same length as original
|
||||
#' @param ignore character string to ignore in new labels
|
||||
#'
|
||||
#' @returns factor
|
||||
#' @export
|
||||
#'
|
||||
#' @examples
|
||||
#' data_n <- mtcars
|
||||
#' data_n$cyl <- factor(data_n$cyl)
|
||||
#' factor_new_levels_labels(data_n, "cyl", new_labels = c("four", "New label", "New label"))
|
||||
factor_new_levels_labels <- function(
|
||||
data,
|
||||
variable,
|
||||
new_variable = TRUE,
|
||||
new_levels = NULL,
|
||||
new_labels = NULL,
|
||||
ignore = "New label") {
|
||||
if (!is.factor(data[[variable]])) {
|
||||
return(data)
|
||||
}
|
||||
|
||||
if (is.null(new_levels)) {
|
||||
new_levels <- levels(data[[variable]])
|
||||
}
|
||||
|
||||
if (is.null(new_labels)) {
|
||||
new_labels <- labels(data[[variable]])
|
||||
}
|
||||
|
||||
with_level <- factor(
|
||||
as.character(data[[variable]]),
|
||||
levels = new_levels
|
||||
)
|
||||
with_label <- factor(
|
||||
with_level,
|
||||
labels = ifelse(new_labels == "New label", new_levels, new_labels)
|
||||
)
|
||||
|
||||
# browser()
|
||||
|
||||
if (isTRUE(new_variable)) {
|
||||
append_column(
|
||||
data = data,
|
||||
column = with_label,
|
||||
name = unique_names(new = paste0(variable, "_updated"), existing = names(data))
|
||||
)
|
||||
} else {
|
||||
data[[variable]] <- new_variable
|
||||
data
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
#' @inheritParams shiny::modalDialog
|
||||
|
|
@ -10476,6 +10664,25 @@ winbox_update_factor <- function(id,
|
|||
}
|
||||
|
||||
|
||||
#' Make unique variable names
|
||||
#'
|
||||
#' Helper function to create new variable names that are unique
|
||||
#' given a set of existing names (in a data set, for example).
|
||||
#' If a variable name already exists, a number will be appended.
|
||||
#'
|
||||
#' @param new a vector of proposed new variable names
|
||||
#' @param existing a vector of existing variable names
|
||||
#' @return a vector of unique new variable names
|
||||
#' @examples
|
||||
#' unique_names(c("var_x", "var_y", "var_x"), c("var_x", "var_z"))
|
||||
#'
|
||||
#' @export
|
||||
unique_names <- function(new, existing = character()) {
|
||||
new_names <- make.unique(c(existing, new), sep = "_")
|
||||
|
||||
new_names[-seq_along(existing)]
|
||||
}
|
||||
|
||||
|
||||
########
|
||||
#### Current file: /Users/au301842/FreesearchR/R//update-variables-ext.R
|
||||
|
|
@ -11779,7 +11986,6 @@ make_validation_alerts <- function(data) {
|
|||
#' @returns Shiny ui module
|
||||
#' @export
|
||||
#'
|
||||
#' @example examples/visual_summary_demo.R
|
||||
visual_summary_ui <- function(id) {
|
||||
ns <- shiny::NS(id)
|
||||
|
||||
|
|
@ -11873,14 +12079,6 @@ modal_visual_summary <- function(id,
|
|||
#' @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, ...) {
|
||||
l <- data_summary_gather(data, ...)
|
||||
|
||||
|
|
@ -11931,14 +12129,6 @@ missings_apex_plot <- function(data, animation = FALSE, ...) {
|
|||
#' @returns ggplot2 object
|
||||
#' @export
|
||||
#'
|
||||
#' @examples
|
||||
#' data_demo <- mtcars
|
||||
#' data_demo[sample(1:32, 10), "cyl"] <- NA
|
||||
#' data_demo[sample(1:32, 8), "vs"] <- NA
|
||||
#' visual_summary(data_demo)
|
||||
#' visual_summary(data_demo, palette.fun = scales::hue_pal())
|
||||
#' visual_summary(dplyr::storms, summary.fun = data_type)
|
||||
#' visual_summary(dplyr::storms, summary.fun = data_type, na.label = "Missings", legend.title = "Class")
|
||||
visual_summary <- function(data, legend.title = NULL, ylab = "Observations", ...) {
|
||||
l <- data_summary_gather(data, ...)
|
||||
|
||||
|
|
@ -11990,7 +12180,7 @@ visual_summary <- function(data, legend.title = NULL, ylab = "Observations", ...
|
|||
#' @export
|
||||
#'
|
||||
#' @examples
|
||||
#' mtcars |> data_summary_gather()
|
||||
#' mtcars |> data_summary_gather() |> names()
|
||||
data_summary_gather <- function(data, summary.fun = class, palette.fun = viridisLite::viridis, na.label = "NA", ...) {
|
||||
df_plot <- setNames(data, unique_short(names(data))) |>
|
||||
purrr::map_df(\(x){
|
||||
|
|
@ -12270,7 +12460,6 @@ ui <- bslib::page_fixed(
|
|||
usei18n(i18n),
|
||||
## Code formatting dependencies
|
||||
prismDependencies,
|
||||
prismRDependency,
|
||||
# html_dependency_FreesearchR(),
|
||||
## Version dependent header
|
||||
header_include(),
|
||||
|
|
@ -12775,10 +12964,12 @@ server <- function(input, output, session) {
|
|||
|
||||
shiny::observeEvent(
|
||||
input$modal_update,
|
||||
datamods::modal_update_factor(id = "modal_update", title = i18n$t("Reorder factor levels"))
|
||||
# datamods::modal_update_factor(id = "modal_update", title = i18n$t("Reorder factor levels"))
|
||||
modal_update_factor(id = "modal_update", title = i18n$t("Reorder factor levels"))
|
||||
)
|
||||
|
||||
data_modal_update <- datamods::update_factor_server(
|
||||
# data_modal_update <- datamods::update_factor_server(
|
||||
data_modal_update <- update_factor_server(
|
||||
id = "modal_update",
|
||||
data_r = reactive(rv$data)
|
||||
)
|
||||
|
|
@ -13201,7 +13392,7 @@ server <- function(input, output, session) {
|
|||
columnSelectInput(
|
||||
inputId = "strat_var",
|
||||
selected = "none",
|
||||
label = "Select variable to stratify baseline",
|
||||
label = i18n$t("Select variable to stratify baseline"),
|
||||
data = shiny::reactive(rv$data_filtered)(),
|
||||
col_subset = c(
|
||||
"none",
|
||||
|
|
@ -13210,6 +13401,39 @@ server <- function(input, output, session) {
|
|||
)
|
||||
})
|
||||
|
||||
# output$baseline_theme <- shiny::renderUI({
|
||||
# choices <-
|
||||
#
|
||||
# vectorSelectInput(
|
||||
# inputId = "baseline_theme",
|
||||
# selected = "none",
|
||||
# label = i18n$t("Select table theme"),
|
||||
# choices = c(
|
||||
# "The Journal of the American Medical Association" = "jama",
|
||||
# "The Lancet"="lancet",
|
||||
# "The New England Journal of Medicine" = "nejm",
|
||||
# "The Quarterly Journal of Economics" = "qjecon")
|
||||
# )
|
||||
# })
|
||||
|
||||
|
||||
output$detail_level <- shiny::renderUI({
|
||||
shiny::radioButtons(
|
||||
inputId = "detail_level",
|
||||
label = i18n$t("Level of detail"),
|
||||
selected = "minimal",
|
||||
inline = TRUE, choiceValues = c(
|
||||
"minimal",
|
||||
"extended"
|
||||
),
|
||||
choiceNames = c(
|
||||
i18n$t("Minimal"),
|
||||
i18n$t("Extensive")
|
||||
)
|
||||
)
|
||||
})
|
||||
|
||||
|
||||
##############################################################################
|
||||
#########
|
||||
######### Descriptive evaluations
|
||||
|
|
@ -13235,30 +13459,39 @@ server <- function(input, output, session) {
|
|||
# })
|
||||
|
||||
|
||||
|
||||
|
||||
shiny::observeEvent(
|
||||
list(
|
||||
input$act_eval
|
||||
),
|
||||
{
|
||||
shiny::req(input$strat_var)
|
||||
# shiny::req(input$baseline_theme)
|
||||
shiny::req(input$detail_level)
|
||||
shiny::req(rv$list$data)
|
||||
|
||||
|
||||
|
||||
parameters <- list(
|
||||
by.var = input$strat_var,
|
||||
add.p = input$add_p == "yes",
|
||||
add.overall = TRUE
|
||||
add.overall = TRUE,
|
||||
# theme = input$baseline_theme,
|
||||
detail_level = input$detail_level
|
||||
)
|
||||
|
||||
## Limits maximum number of levels included in baseline table to 20.
|
||||
data <- rv$list$data |>
|
||||
lapply(\(.x){
|
||||
# browser()
|
||||
if (is.factor(.x)){
|
||||
cut_var(.x,breaks=20,type="top")
|
||||
if (is.factor(.x)) {
|
||||
cut_var(.x, breaks = 20, type = "top")
|
||||
} else {
|
||||
.x
|
||||
}
|
||||
}) |> dplyr::bind_cols()
|
||||
}) |>
|
||||
dplyr::bind_cols()
|
||||
|
||||
# Attempt to introduce error on analysing too large dataset
|
||||
# tryCatch(
|
||||
|
|
|
|||
23
man/collapse_spaces.Rd
Normal file
23
man/collapse_spaces.Rd
Normal file
|
|
@ -0,0 +1,23 @@
|
|||
% Generated by roxygen2: do not edit by hand
|
||||
% Please edit documentation in R/helpers.R
|
||||
\name{collapse_spaces}
|
||||
\alias{collapse_spaces}
|
||||
\title{Substitue spaces/tabs with single space excluding text within quotes}
|
||||
\usage{
|
||||
collapse_spaces(x, preserve_newlines = TRUE)
|
||||
}
|
||||
\arguments{
|
||||
\item{x}{character string}
|
||||
|
||||
\item{preserve_newlines}{flag to preserve new lines}
|
||||
}
|
||||
\value{
|
||||
character string
|
||||
}
|
||||
\description{
|
||||
Written assisted by Claude.ai. It is long and possibly too complicated,
|
||||
but it works
|
||||
}
|
||||
\examples{
|
||||
collapse_spaces(c("cyl", "di sp","s e d","d e'dl e'"))
|
||||
}
|
||||
|
|
@ -18,7 +18,7 @@ Deparses expression as string, substitutes native pipe and adds assign
|
|||
\examples{
|
||||
list(
|
||||
as.symbol(paste0("mtcars$", "mpg")),
|
||||
rlang::call2(.fn = "select", !!!list(c("cyl", "disp")), .ns = "dplyr"),
|
||||
rlang::call2(.fn = "select", !!!list(c("cyl", "di sp")), .ns = "dplyr"),
|
||||
rlang::call2(.fn = "default_parsing", .ns = "FreesearchR")
|
||||
) |>
|
||||
merge_expression() |>
|
||||
|
|
|
|||
35
man/factor_new_levels_labels.Rd
Normal file
35
man/factor_new_levels_labels.Rd
Normal file
|
|
@ -0,0 +1,35 @@
|
|||
% Generated by roxygen2: do not edit by hand
|
||||
% Please edit documentation in R/update-factor-ext.R
|
||||
\name{factor_new_levels_labels}
|
||||
\alias{factor_new_levels_labels}
|
||||
\title{Simple function to apply new levels and/or labels to factor}
|
||||
\usage{
|
||||
factor_new_levels_labels(
|
||||
data,
|
||||
variable,
|
||||
new_variable = TRUE,
|
||||
new_levels = NULL,
|
||||
new_labels = NULL,
|
||||
ignore = "New label"
|
||||
)
|
||||
}
|
||||
\arguments{
|
||||
\item{variable}{factor variable}
|
||||
|
||||
\item{ignore}{character string to ignore in new labels}
|
||||
|
||||
\item{new_level}{new levels, same length as original}
|
||||
|
||||
\item{new_label}{new labels, same length as original}
|
||||
}
|
||||
\value{
|
||||
factor
|
||||
}
|
||||
\description{
|
||||
Simple function to apply new levels and/or labels to factor
|
||||
}
|
||||
\examples{
|
||||
data_n <- mtcars
|
||||
data_n$cyl <- factor(data_n$cyl)
|
||||
factor_new_levels_labels(data_n, "cyl", new_labels = c("four", "New label", "New label"))
|
||||
}
|
||||
25
man/unique_names.Rd
Normal file
25
man/unique_names.Rd
Normal file
|
|
@ -0,0 +1,25 @@
|
|||
% Generated by roxygen2: do not edit by hand
|
||||
% Please edit documentation in R/update-factor-ext.R
|
||||
\name{unique_names}
|
||||
\alias{unique_names}
|
||||
\title{Make unique variable names}
|
||||
\usage{
|
||||
unique_names(new, existing = character())
|
||||
}
|
||||
\arguments{
|
||||
\item{new}{a vector of proposed new variable names}
|
||||
|
||||
\item{existing}{a vector of existing variable names}
|
||||
}
|
||||
\value{
|
||||
a vector of unique new variable names
|
||||
}
|
||||
\description{
|
||||
Helper function to create new variable names that are unique
|
||||
given a set of existing names (in a data set, for example).
|
||||
If a variable name already exists, a number will be appended.
|
||||
}
|
||||
\examples{
|
||||
unique_names(c("var_x", "var_y", "var_x"), c("var_x", "var_z"))
|
||||
|
||||
}
|
||||
Loading…
Add table
Reference in a new issue