REDCapCAST/man/ds2dd_detailed.Rd

97 lines
3.0 KiB
R

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ds2dd_detailed.R
\name{ds2dd_detailed}
\alias{ds2dd_detailed}
\title{Extract data from stata file for data dictionary}
\usage{
ds2dd_detailed(
data,
add.auto.id = FALSE,
date.format = "dmy",
form.name = NULL,
form.sep = NULL,
form.prefix = TRUE,
field.type = NULL,
field.label = NULL,
field.label.attr = "label",
field.validation = NULL,
metadata = names(REDCapCAST::redcapcast_meta),
convert.logicals = TRUE
)
}
\arguments{
\item{data}{data frame}
\item{add.auto.id}{flag to add id column}
\item{date.format}{date format, character string. ymd/dmy/mdy. dafault is
dmy.}
\item{form.name}{manually specify form name(s). Vector of length 1 or
ncol(data). Default is NULL and "data" is used.}
\item{form.sep}{If supplied dataset has form names as suffix or prefix to the
column/variable names, the seperator can be specified. If supplied, the
form.name is ignored. Default is NULL.}
\item{form.prefix}{Flag to set if form is prefix (TRUE) or suffix (FALSE) to
the column names. Assumes all columns have pre- or suffix if specified.}
\item{field.type}{manually specify field type(s). Vector of length 1 or
ncol(data). Default is NULL and "text" is used for everything but factors,
which wil get "radio".}
\item{field.label}{manually specify field label(s). Vector of length 1 or
ncol(data). Default is NULL and colnames(data) is used or attribute
`field.label.attr` for haven_labelled data set (imported .dta file with
`haven::read_dta()`).}
\item{field.label.attr}{attribute name for named labels for haven_labelled
data set (imported .dta file with `haven::read_dta()`. Default is "label"}
\item{field.validation}{manually specify field validation(s). Vector of
length 1 or ncol(data). Default is NULL and `levels()` are used for factors
or attribute `factor.labels.attr` for haven_labelled data set (imported .dta
file with `haven::read_dta()`).}
\item{metadata}{redcap metadata headings. Default is
REDCapCAST:::metadata_names.}
\item{convert.logicals}{convert logicals to factor. Default is TRUE.}
}
\value{
list of length 2
}
\description{
Extract data from stata file for data dictionary
}
\details{
This function is a natural development of the ds2dd() function. It assumes
that the first column is the ID-column. No checks.
Please, do always inspect the data dictionary before upload.
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()
iris |> ds2dd_detailed(add.auto.id = TRUE)
iris |>
ds2dd_detailed(
add.auto.id = TRUE,
form.name = sample(c("b", "c"), size = 6, replace = TRUE, prob = rep(.5, 2))
) |>
purrr::pluck("meta")
mtcars |> ds2dd_detailed(add.auto.id = TRUE)
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 = "__")
}
}