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preparing for next version
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@ -63,11 +63,11 @@ Collate:
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'utils.r'
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'process_user_input.r'
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'REDCap_split.r'
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'create_instrument_meta.R'
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'doc2dd.R'
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'ds2dd.R'
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'ds2dd_detailed.R'
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'easy_redcap.R'
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'export_redcap_instrument.R'
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'html_styling.R'
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'mtcars_redcap.R'
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'read_redcap_instrument.R'
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16
NEWS.md
16
NEWS.md
@ -1,3 +1,19 @@
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# REDCapCAST 24.10.4
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Revised tests.
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### Functions:
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* Bug: 'form.name' specified to 'ds2dd_detailed()' was ignored. Corrected to only be ignored if 'form.sep' is specified. Added handling of re-occurring `form.sep` pattern.
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* New: `export_redcap_instrument()` is a new version of `create_instrument_meta()`, that will only export a single instrument. Multiple instrument export can be done with `lapply()` or `purrr::map()`. This allows for inclusion of this functionality in the Shiny implementation and is easier to handle. `create_instrument_meta()` is deprecated.
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### Shiny:
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* New: Export a REDCap instrument ready to add to your database based on an uploaded spreadsheet. This is thanks to the `export_redcap_instrument()` function. THis functionality is intended for projects in production and adding instruments should be handled manually and not by API upload.
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The shiny implementation is included with this package. Implementing in shinylive may be looked into again later.
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# REDCapCAST 24.10.3
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Updated links and spelling.
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@ -117,7 +117,7 @@ hms2character <- function(data) {
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#' ncol(data). Default is NULL and "data" is used.
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#' @param form.sep If supplied dataset has form names as suffix or prefix to the
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#' column/variable names, the seperator can be specified. If supplied, the
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#' form.sep is ignored. Default is NULL.
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#' form.name is ignored. Default is NULL.
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#' @param form.prefix Flag to set if form is prefix (TRUE) or suffix (FALSE) to
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#' the column names. Assumes all columns have pre- or suffix if specified.
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#' @param field.type manually specify field type(s). Vector of length 1 or
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@ -149,13 +149,19 @@ hms2character <- function(data) {
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#' data |> ds2dd_detailed(validate.time = TRUE)
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#' data |> ds2dd_detailed()
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#' iris |> ds2dd_detailed(add.auto.id = TRUE)
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#' iris |>
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#' ds2dd_detailed(
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#' add.auto.id = TRUE,
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#' form.name = sample(c("b", "c"), size = 6, replace = TRUE, prob = rep(.5, 2))
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#' ) |>
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#' purrr::pluck("meta")
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#' mtcars |> ds2dd_detailed(add.auto.id = TRUE)
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#' data <- iris |>
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#' ds2dd_detailed(add.auto.id = TRUE) |>
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#' purrr::pluck("data")
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#' names(data) <- glue::glue("{sample(x = c('a','b'),size = length(names(data)),
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#' replace=TRUE,prob = rep(x=.5,2))}__{names(data)}")
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#' data |> ds2dd_detailed(form.sep="__")
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#' data |> ds2dd_detailed(form.sep = "__")
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ds2dd_detailed <- function(data,
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add.auto.id = FALSE,
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date.format = "dmy",
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@ -229,27 +235,34 @@ ds2dd_detailed <- function(data,
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## form_name and field_name
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if (!is.null(form.sep)) {
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if (form.sep!=""){
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suppressMessages(nms <- strsplit(names(data), split = form.sep) |>
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dplyr::bind_cols())
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## Assumes form.sep only occurs once and form.prefix defines if form is prefix or suffix
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dd$form_name <- clean_redcap_name(dplyr::slice(nms,ifelse(form.prefix, 1, 2)))
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## The other split part is used as field names
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dd$field_name <- dplyr::slice(nms,ifelse(!form.prefix, 1, 2)) |> as.character()
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if (form.sep != "") {
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parts <- strsplit(names(data), split = form.sep)
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## form.sep should be unique, but handles re-occuring pattern (by only considering first or last) and form.prefix defines if form is prefix or suffix
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## The other split part is used as field names
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if (form.prefix){
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dd$form_name <- clean_redcap_name(Reduce(c,lapply(parts,\(.x) .x[[1]])))
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dd$field_name <- Reduce(c,lapply(parts,\(.x) paste(.x[seq_len(length(.x))[-1]],collapse=form.sep)))
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} else {
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dd$form_name <- clean_redcap_name(Reduce(c,lapply(parts,\(.x) .x[[length(.x)]])))
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dd$field_name <- Reduce(c,lapply(parts,\(.x) paste(.x[seq_len(length(.x)-1)],collapse=form.sep)))
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}
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} else {
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dd$form_name <- "data"
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dd$field_name <- gsub(" ", "_", tolower(colnames(data)))
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}
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} else if (is.null(form.sep)) {
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} else {
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## if no form name prefix, the colnames are used as field_names
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dd$field_name <- gsub(" ", "_", tolower(colnames(data)))
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} else if (is.null(form.name)) {
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dd$form_name <- "data"
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} else {
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if (length(form.name) == 1 || length(form.name) == nrow(dd)) {
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dd$form_name <- form.name
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if (is.null(form.name)) {
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dd$form_name <- "data"
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} else {
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stop("Length of supplied 'form.name' has to be one (1) or ncol(data).")
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if (length(form.name) == 1 || length(form.name) == nrow(dd)) {
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dd$form_name <- form.name
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} else {
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stop("Length of supplied 'form.name' has to be one (1) or ncol(data).")
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}
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}
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}
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10
app/rsconnect/shinyapps.io/agdamsbo/redcapcast.dcf
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10
app/rsconnect/shinyapps.io/agdamsbo/redcapcast.dcf
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@ -0,0 +1,10 @@
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name: redcapcast
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title:
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username: agdamsbo
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account: agdamsbo
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server: shinyapps.io
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hostUrl: https://api.shinyapps.io/v1
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appId: 11351429
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bundleId: 9263605
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url: https://agdamsbo.shinyapps.io/redcapcast/
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version: 1
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/create_instrument_meta.R
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% Please edit documentation in R/export_redcap_instrument.R
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\name{create_instrument_meta}
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\alias{create_instrument_meta}
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\title{Create zips file with necessary content based on data set}
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\title{DEPRICATED Create zips file with necessary content based on data set}
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\usage{
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create_instrument_meta(data, dir = here::here(""), record.id = TRUE)
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}
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@ -21,22 +21,29 @@ list
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}
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\description{
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Metadata can be added by editing the data dictionary of a project in the
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initial design phase. If you want to later add new instruments, this can be
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used to add instrument(s) to a project in production.
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initial design phase. If you want to later add new instruments, this
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function can be used to create (an) instrument(s) to add to a project in
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production.
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}
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\examples{
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data <- iris |>
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ds2dd_detailed(add.auto.id = TRUE,
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form.name=sample(c("b","c"),size = 6,replace = TRUE,prob=rep(.5,2))) |>
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ds2dd_detailed(
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add.auto.id = TRUE,
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form.name = sample(c("b", "c"),
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size = 6,
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replace = TRUE, prob = rep(.5, 2)
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)
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) |>
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purrr::pluck("meta")
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# data |> create_instrument_meta()
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data <- iris |>
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ds2dd_detailed(add.auto.id = FALSE) |>
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purrr::pluck("data")
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names(data) <- glue::glue("{sample(x = c('a','b'),size = length(names(data)),
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replace=TRUE,prob = rep(x=.5,2))}__{names(data)}")
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data <- data |> ds2dd_detailed(form.sep="__")
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iris |>
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setNames(glue::glue("{sample(x = c('a','b'),size = length(ncol(iris)),
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replace=TRUE,prob = rep(x=.5,2))}__{names(iris)}")) |>
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ds2dd_detailed(form.sep = "__")
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# data |>
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# purrr::pluck("meta") |>
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# create_instrument_meta(record.id = FALSE)
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\item{form.sep}{If supplied dataset has form names as suffix or prefix to the
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column/variable names, the seperator can be specified. If supplied, the
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form.sep is ignored. Default is NULL.}
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form.name is ignored. Default is NULL.}
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\item{form.prefix}{Flag to set if form is prefix (TRUE) or suffix (FALSE) to
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the column names. Assumes all columns have pre- or suffix if specified.}
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@ -87,11 +87,17 @@ data <- REDCapCAST::redcapcast_data
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data |> ds2dd_detailed(validate.time = TRUE)
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data |> ds2dd_detailed()
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iris |> ds2dd_detailed(add.auto.id = TRUE)
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iris |>
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ds2dd_detailed(
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add.auto.id = TRUE,
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form.name = sample(c("b", "c"), size = 6, replace = TRUE, prob = rep(.5, 2))
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) |>
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purrr::pluck("meta")
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mtcars |> ds2dd_detailed(add.auto.id = TRUE)
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data <- iris |>
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ds2dd_detailed(add.auto.id = TRUE) |>
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purrr::pluck("data")
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names(data) <- glue::glue("{sample(x = c('a','b'),size = length(names(data)),
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replace=TRUE,prob = rep(x=.5,2))}__{names(data)}")
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data |> ds2dd_detailed(form.sep="__")
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data |> ds2dd_detailed(form.sep = "__")
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}
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tests/testthat/test-ds2dd.R
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29
tests/testthat/test-ds2dd.R
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mtcars$id <- seq_len(nrow(mtcars))
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test_that("ds2dd gives desired output", {
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expect_equal(ncol(ds2dd(mtcars, record.id = "id")), 18)
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expect_s3_class(ds2dd(mtcars, record.id = "id"), "data.frame")
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expect_s3_class(ds2dd(mtcars, record.id = 12), "data.frame")
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})
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test_that("ds2dd gives output with list of length two", {
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expect_equal(length(ds2dd(
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mtcars,
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record.id = "id",
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include.column.names = TRUE
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)), 2)
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})
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test_that("ds2dd gives correct errors", {
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expect_error(ds2dd(mtcars))
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expect_error(ds2dd(mtcars, form.name = c("basis", "incl")))
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expect_error(ds2dd(mtcars, field.type = c("text", "dropdown")))
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expect_error(ds2dd(mtcars, field.label = c("Name", "Age")))
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})
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test_that("ds2dd correctly renames", {
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expect_equal(ncol(ds2dd(mtcars, record.id = "id")), 18)
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expect_s3_class(ds2dd(mtcars, record.id = "id"), "data.frame")
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})
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