minor adjustments and bug fixing

This commit is contained in:
Andreas Gammelgaard Damsbo 2024-11-21 11:18:38 +01:00
parent f094394933
commit 40d95e41c3
No known key found for this signature in database
14 changed files with 256 additions and 71 deletions

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@ -11,6 +11,7 @@ S3method(process_user_input,data.frame)
S3method(process_user_input,default)
S3method(process_user_input,response)
export(REDCap_split)
export(all_na)
export(as_factor)
export(case_match_regex_list)
export(cast_data_overview)
@ -18,6 +19,7 @@ export(cast_meta_overview)
export(char2choice)
export(char2cond)
export(clean_redcap_name)
export(compact_vec)
export(create_html_table)
export(create_instrument_meta)
export(d2w)
@ -42,6 +44,7 @@ export(named_levels)
export(nav_bar_page)
export(numchar2fct)
export(parse_data)
export(possibly_roman)
export(process_user_input)
export(read_input)
export(read_redcap_instrument)
@ -53,6 +56,7 @@ export(shiny_cast)
export(split_non_repeating_forms)
export(strsplitx)
export(var2fct)
export(vec2choice)
importFrom(REDCapR,redcap_event_instruments)
importFrom(REDCapR,redcap_metadata_read)
importFrom(REDCapR,redcap_read)

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@ -56,13 +56,14 @@ as_factor.numeric <- function(x, ...) {
#' @export
as_factor.character <- function(x, ...) {
labels <- get_attr(x)
if (is.roman(x)){
if (possibly_roman(x)){
x <- factor(x)
} else {
x <- structure(
forcats::fct_inorder(x),
label = attr(x, "label", exact = TRUE)
)}
)
}
set_attr(x, labels, overwrite = FALSE)
}
@ -201,11 +202,19 @@ named_levels <- function(data, label = "labels", na.label = NULL, na.value = 99)
)
}
# Handle empty factors
if (all_na(data)){
d <- data.frame(
name = levels(data),
value = seq_along(levels(data))
)
} else {
d <- data.frame(
name = levels(data)[data],
value = as.numeric(data)
) |>
unique()
}
## Applying labels
attr_l <- attr(x = data, which = label, exact = TRUE)
@ -227,8 +236,21 @@ named_levels <- function(data, label = "labels", na.label = NULL, na.value = 99)
out
}
is.roman <- function(data){
identical(data,as.character(utils::as.roman(data)))
#' Test if vector can be interpreted as roman numerals
#'
#' @param data character vector
#'
#' @return logical
#' @export
#'
#' @examples
#' sample(1:100,10) |> as.roman() |> possibly_roman()
#' sample(c(TRUE,FALSE),10,TRUE)|> possibly_roman()
#' rep(NA,10)|> possibly_roman()
possibly_roman <- function(data){
# browser()
if (all(is.na(data))) return(FALSE)
identical(as.character(data),as.character(utils::as.roman(data)))
}

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@ -141,10 +141,15 @@ hms2character <- function(data) {
#' @export
#'
#' @examples
#' \dontrun{
#' data <- REDCapCAST::redcapcast_data
#' data |> ds2dd_detailed()
#' ## Basic parsing with default options
#' REDCapCAST::redcapcast_data |>
#' dplyr::select(-dplyr::starts_with("redcap_")) |>
#' ds2dd_detailed()
#'
#' ## Adding a record_id field
#' iris |> ds2dd_detailed(add.auto.id = TRUE)
#'
#' ## Passing form name information to function
#' iris |>
#' ds2dd_detailed(
#' add.auto.id = TRUE,
@ -152,13 +157,14 @@ hms2character <- function(data) {
#' ) |>
#' purrr::pluck("meta")
#' mtcars |> ds2dd_detailed(add.auto.id = TRUE)
#'
#' ## Using column name suffix to carry form name
#' data <- iris |>
#' ds2dd_detailed(add.auto.id = TRUE) |>
#' purrr::pluck("data")
#' names(data) <- glue::glue("{sample(x = c('a','b'),size = length(names(data)),
#' replace=TRUE,prob = rep(x=.5,2))}__{names(data)}")
#' data |> ds2dd_detailed(form.sep = "__")
#' }
ds2dd_detailed <- function(data,
add.auto.id = FALSE,
date.format = "dmy",
@ -171,24 +177,18 @@ ds2dd_detailed <- function(data,
field.validation = NULL,
metadata = names(REDCapCAST::redcapcast_meta),
convert.logicals = TRUE) {
# Repair empty columns
# These where sometimes classed as factors or
# if (any(sapply(data,all_na))){
# data <- data |>
# ## Converts logical to factor, which overwrites attributes
# dplyr::mutate(dplyr::across(dplyr::where(all_na), as.character))
# }
if (convert.logicals) {
# Labels/attributes are saved
# labels <- lapply(data, \(.x){
# get_attr(.x, attr = NULL)
# })
data <- data |>
## Converts logical to factor, which overwrites attributes
dplyr::mutate(dplyr::across(dplyr::where(is.logical), as_factor))
# Old attributes are appended
# data <- purrr::imap(no_attr,\(.x,.i){
# attributes(.x) <- c(attributes(.x),labels[[.i]])
# .x
# }) |>
# dplyr::bind_cols()
}
## Handles the odd case of no id column present
@ -197,9 +197,6 @@ ds2dd_detailed <- function(data,
record_id = seq_len(nrow(data)),
data
)
# set_attr(data$record_id,label="ID",attr="label")
message("A default id column has been added")
}
## ---------------------------------------
@ -227,6 +224,9 @@ ds2dd_detailed <- function(data,
dd$form_name <- clean_redcap_name(Reduce(c, lapply(parts, \(.x) .x[[length(.x)]])))
dd$field_name <- Reduce(c, lapply(parts, \(.x) paste(.x[seq_len(length(.x) - 1)], collapse = form.sep)))
}
## To preserve original
colnames(data) <- dd$field_name
dd$field_name <- tolower(dd$field_name)
} else {
dd$form_name <- "data"
dd$field_name <- gsub(" ", "_", tolower(colnames(data)))
@ -251,14 +251,20 @@ ds2dd_detailed <- function(data,
if (is.null(field.label)) {
dd$field_label <- data |>
sapply(function(x) {
get_attr(x, attr = field.label.attr)
get_attr(x, attr = field.label.attr) |>
compact_vec()
})
dd <-
dd |> dplyr::mutate(field_label = dplyr::if_else(is.na(field_label),
field_name, field_label
))
dd |>
dplyr::mutate(
field_label = dplyr::if_else(is.na(field_label),
colnames(data),
field_label
)
)
} else {
## It really should be unique for each: same length as number of variables
if (length(field.label) == 1 || length(field.label) == nrow(dd)) {
dd$field_label <- field.label
} else {
@ -312,23 +318,16 @@ ds2dd_detailed <- function(data,
## choices
factor_levels <- data |>
lapply(function(x) {
sapply(function(x) {
if (is.factor(x)) {
## Custom function to ensure factor order and keep original values
## Avoiding refactoring to keep as much information as possible
lvls <- sort(named_levels(x))
paste(
paste(lvls,
names(lvls),
sep = ", "
),
collapse = " | "
)
sort(named_levels(x)) |>
vec2choice()
} else {
NA
}
}) |>
(\(x)do.call(c, x))()
})
dd <-
dd |> dplyr::mutate(
@ -346,10 +345,22 @@ ds2dd_detailed <- function(data,
meta = dd
)
class(out) <- c("REDCapCAST",class(out))
class(out) <- c("REDCapCAST", class(out))
out
}
#' Check if vector is all NA
#'
#' @param data vector of data.frame
#'
#' @return logical
#' @export
#'
#' @examples
#' rep(NA,4) |> all_na()
all_na <- function(data){
all(is.na(data))
}
#' Guess time variables based on naming pattern
#'
@ -423,11 +434,9 @@ mark_complete <- function(upload, ls) {
#' @export
#'
#' @examples
#' \dontrun{
#' mtcars |>
#' parse_data() |>
#' str()
#' }
parse_data <- function(data,
guess_type = TRUE,
col_types = NULL,
@ -483,7 +492,6 @@ parse_data <- function(data,
#' @importFrom forcats as_factor
#'
#' @examples
#' \dontrun{
#' sample(seq_len(4), 20, TRUE) |>
#' var2fct(6) |>
#' summary()
@ -491,7 +499,6 @@ parse_data <- function(data,
#' var2fct(6) |>
#' summary()
#' sample(letters[1:4], 20, TRUE) |> var2fct(6)
#' }
var2fct <- function(data, unique.n) {
if (length(unique(data)) <= unique.n) {
as_factor(data)
@ -540,5 +547,59 @@ numchar2fct <- function(data, numeric.threshold = 6, character.throshold = 6) {
}
#' Named vector to REDCap choices (`wrapping compact_vec()`)
#'
#' @param data named vector
#'
#' @return character string
#' @export
#'
#' @examples
#' sample(seq_len(4), 20, TRUE) |>
#' as_factor() |>
#' named_levels() |>
#' sort() |>
#' vec2choice()
vec2choice <- function(data) {
compact_vec(data,nm.sep = ", ",val.sep = " | ")
}
#' Compacting a vector of any length with or without names
#'
#' @param data vector, optionally named
#' @param nm.sep string separating name from value if any
#' @param val.sep string separating values
#'
#' @return character string
#' @export
#'
#' @examples
#' sample(seq_len(4), 20, TRUE) |>
#' as_factor() |>
#' named_levels() |>
#' sort() |>
#' compact_vec()
#' 1:6 |> compact_vec()
#' "test" |> compact_vec()
#' sample(letters[1:9], 20, TRUE) |> compact_vec()
compact_vec <- function(data,nm.sep=": ",val.sep="; ") {
# browser()
if (all(is.na(data))) {
return(data)
}
if (length(names(data)) > 0) {
paste(
paste(data,
names(data),
sep = nm.sep
),
collapse = val.sep
)
} else {
paste(
data,
collapse = val.sep
)
}
}

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@ -21,7 +21,6 @@ shiny_cast <- function(...) {
}
#' DEPRECATED Helper to import files correctly
#'
#' @param filenames file names

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@ -5,6 +5,6 @@ account: agdamsbo
server: shinyapps.io
hostUrl: https://api.shinyapps.io/v1
appId: 11351429
bundleId: 9392320
bundleId: 9392352
url: https://agdamsbo.shinyapps.io/redcapcast/
version: 1

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@ -63,7 +63,7 @@ server <- function(input, output, session) {
v$file <- "loaded"
ds2dd_detailed(
data = dat(),
add.auto.id = input$add_id=="yes"
add.auto.id = input$add_id == "yes"
)
})
@ -132,7 +132,8 @@ server <- function(input, output, session) {
content = function(file) {
export_redcap_instrument(purrr::pluck(dd(), "meta"),
file = file,
record.id = ifelse(input$add_id=="none",NA,names(dat())[1]))
record.id = ifelse(input$add_id == "none", NA, names(dat())[1])
)
}
)

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@ -2,6 +2,5 @@ ui <-
bslib::page(
theme = bslib::bs_theme(preset = "united"),
title = "REDCap database creator",
nav_bar_page()
nav_bar_page()
)

20
man/all_na.Rd Normal file
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@ -0,0 +1,20 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ds2dd_detailed.R
\name{all_na}
\alias{all_na}
\title{Check if vector is all NA}
\usage{
all_na(data)
}
\arguments{
\item{data}{vector of data.frame}
}
\value{
logical
}
\description{
Check if vector is all NA
}
\examples{
rep(NA,4) |> all_na()
}

31
man/compact_vec.Rd Normal file
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@ -0,0 +1,31 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ds2dd_detailed.R
\name{compact_vec}
\alias{compact_vec}
\title{Compacting a vector of any length with or without names}
\usage{
compact_vec(data, nm.sep = ": ", val.sep = "; ")
}
\arguments{
\item{data}{vector, optionally named}
\item{nm.sep}{string separating name from value if any}
\item{val.sep}{string separating values}
}
\value{
character string
}
\description{
Compacting a vector of any length with or without names
}
\examples{
sample(seq_len(4), 20, TRUE) |>
as_factor() |>
named_levels() |>
sort() |>
compact_vec()
1:6 |> compact_vec()
"test" |> compact_vec()
sample(letters[1:9], 20, TRUE) |> compact_vec()
}

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@ -75,10 +75,15 @@ Ensure, that the data set is formatted with as much information as possible.
`field.type` can be supplied
}
\examples{
\dontrun{
data <- REDCapCAST::redcapcast_data
data |> ds2dd_detailed()
## Basic parsing with default options
REDCapCAST::redcapcast_data |>
dplyr::select(-dplyr::starts_with("redcap_")) |>
ds2dd_detailed()
## Adding a record_id field
iris |> ds2dd_detailed(add.auto.id = TRUE)
## Passing form name information to function
iris |>
ds2dd_detailed(
add.auto.id = TRUE,
@ -86,6 +91,8 @@ iris |>
) |>
purrr::pluck("meta")
mtcars |> ds2dd_detailed(add.auto.id = TRUE)
## Using column name suffix to carry form name
data <- iris |>
ds2dd_detailed(add.auto.id = TRUE) |>
purrr::pluck("data")
@ -93,4 +100,3 @@ names(data) <- glue::glue("{sample(x = c('a','b'),size = length(names(data)),
replace=TRUE,prob = rep(x=.5,2))}__{names(data)}")
data |> ds2dd_detailed(form.sep = "__")
}
}

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@ -33,9 +33,7 @@ data.frame or tibble
Helper to auto-parse un-formatted data with haven and readr
}
\examples{
\dontrun{
mtcars |>
parse_data() |>
str()
}
}

22
man/possibly_roman.Rd Normal file
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@ -0,0 +1,22 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/as_factor.R
\name{possibly_roman}
\alias{possibly_roman}
\title{Test if vector can be interpreted as roman numerals}
\usage{
possibly_roman(data)
}
\arguments{
\item{data}{character vector}
}
\value{
logical
}
\description{
Test if vector can be interpreted as roman numerals
}
\examples{
sample(1:100,10) |> as.roman() |> possibly_roman()
sample(c(TRUE,FALSE),10,TRUE)|> possibly_roman()
rep(NA,10)|> possibly_roman()
}

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@ -19,7 +19,6 @@ This is a wrapper of forcats::as_factor, which sorts numeric vectors before
factoring, but levels character vectors in order of appearance.
}
\examples{
\dontrun{
sample(seq_len(4), 20, TRUE) |>
var2fct(6) |>
summary()
@ -28,4 +27,3 @@ sample(letters, 20) |>
summary()
sample(letters[1:4], 20, TRUE) |> var2fct(6)
}
}

24
man/vec2choice.Rd Normal file
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@ -0,0 +1,24 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ds2dd_detailed.R
\name{vec2choice}
\alias{vec2choice}
\title{Named vector to REDCap choices (`wrapping compact_vec()`)}
\usage{
vec2choice(data)
}
\arguments{
\item{data}{named vector}
}
\value{
character string
}
\description{
Named vector to REDCap choices (`wrapping compact_vec()`)
}
\examples{
sample(seq_len(4), 20, TRUE) |>
as_factor() |>
named_levels() |>
sort() |>
vec2choice()
}