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https://github.com/agdamsbo/REDCapCAST.git
synced 2026-06-19 05:07:30 +02:00
added option to export "both" raw and label by labelling raw data to preserve as much information as possible
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parent
57f9f23ece
commit
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11 changed files with 177 additions and 230 deletions
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@ -8,6 +8,8 @@
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\alias{as_factor.character}
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\alias{as_factor.haven_labelled}
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\alias{as_factor.labelled}
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\alias{as_factor.redcapcast_labelled}
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\alias{as_factor.data.frame}
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\title{Convert labelled vectors to factors while preserving attributes}
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\usage{
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as_factor(x, ...)
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@ -33,6 +35,15 @@ as_factor(x, ...)
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ordered = FALSE,
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...
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)
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\method{as_factor}{redcapcast_labelled}(
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x,
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levels = c("default", "labels", "values", "both"),
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ordered = FALSE,
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...
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)
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\method{as_factor}{data.frame}(x, ..., only_labelled = TRUE)
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}
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\arguments{
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\item{x}{Object to coerce to a factor.}
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@ -49,6 +60,8 @@ as_factor(x, ...)
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\item{ordered}{If `TRUE` create an ordered (ordinal) factor, if
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`FALSE` (the default) create a regular (nominal) factor.}
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\item{only_labelled}{Only apply to labelled columns?}
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}
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\description{
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This extends [forcats::as_factor()] as well as [haven::as_factor()], by appending
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@ -1,5 +1,5 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/easy_redcap.R
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% Please edit documentation in R/read_redcap_tables.R
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\name{clean_field_label}
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\alias{clean_field_label}
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\title{Very simple function to remove rich text formatting from field label
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@ -11,7 +11,7 @@ ds2dd(
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field.type = "text",
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field.label = NULL,
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include.column.names = FALSE,
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metadata = REDCapCAST::redcap_meta_default()
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metadata = names(REDCapCAST::redcapcast_meta)
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)
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}
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\arguments{
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@ -34,7 +34,7 @@ names.}
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column names for original data set for upload.}
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\item{metadata}{Metadata column names. Default is the included
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REDCapCAST::redcap_meta_default.}
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names(REDCapCAST::redcapcast_meta).}
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}
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\value{
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data.frame or list of data.frame and vector
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18
man/fct_drop.Rd
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18
man/fct_drop.Rd
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@ -0,0 +1,18 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/fct_drop.R
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\name{fct_drop}
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\alias{fct_drop}
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\alias{fct_drop.data.frame}
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\title{Drop unused levels preserving label data}
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\usage{
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fct_drop.data.frame(x, ...)
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}
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\arguments{
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\item{x}{Factor to drop unused levels}
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\item{...}{Other arguments passed down to method.}
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}
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\description{
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This extends [forcats::fct_drop()] to natively work across a data.frame and
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replace [base::droplevels()].
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}
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28
man/is.labelled.Rd
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28
man/is.labelled.Rd
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@ -0,0 +1,28 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/as_factor.R
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\name{is.labelled}
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\alias{is.labelled}
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\title{Tests for multiple label classes}
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\usage{
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is.labelled(
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x,
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classes = c("redcapcast_labelled", "haven_labelled", "labelled")
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)
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}
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\arguments{
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\item{x}{data}
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\item{classes}{classes to test}
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}
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\value{
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logical
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}
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\description{
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Tests for multiple label classes
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}
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\examples{
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structure(c(1, 2, 3, 2, 10, 9),
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labels = c(Unknown = 9, Refused = 10),
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class = "haven_labelled"
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) |> is.labelled()
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}
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@ -1,38 +0,0 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/easy_redcap.R
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\name{read_redcap_labelled}
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\alias{read_redcap_labelled}
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\title{REDCap read function to preserve field labels and all factor levels}
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\usage{
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read_redcap_labelled(
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uri,
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token,
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records = NULL,
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fields = NULL,
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events = NULL,
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forms = NULL,
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split_forms = "all"
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)
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}
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\arguments{
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\item{uri}{REDCap database API uri}
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\item{token}{API token}
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\item{records}{records to download}
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\item{fields}{fields to download}
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\item{events}{events to download}
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\item{forms}{forms to download}
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\item{split_forms}{Whether to split "repeating" or "all" forms, default is
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"all".}
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}
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\value{
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data.frame or list
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}
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\description{
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This works very much as `read_redcap_tables()` and might end up there
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}
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@ -28,7 +28,14 @@ read_redcap_tables(
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\item{forms}{forms to download}
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\item{raw_or_label}{raw or label tags}
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\item{raw_or_label}{raw or label tags. Can be
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* "raw": Standard [REDCapR] method to get raw values.
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* "label": Standard [REDCapR] method to get label values.
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* "both": Get raw values with REDCap labels applied as labels. Use
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[as_factor()] to format factors with original labels and use the
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[gtsummary] package to easily get beautiful tables with original labels
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from REDCap. Use [fct_drop()] to drop empty levels.}
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\item{split_forms}{Whether to split "repeating" or "all" forms, default is
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all.}
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@ -1,20 +0,0 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/ds2dd_detailed.R
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\name{redcap_meta_default}
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\alias{redcap_meta_default}
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\title{Default column names of a REDCap data dictionary}
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\usage{
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redcap_meta_default(...)
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}
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\arguments{
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\item{...}{ignored for now}
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}
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\value{
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character vector
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}
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\description{
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Default column names of a REDCap data dictionary
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}
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\examples{
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dput(redcap_meta_default())
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}
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