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103 lines
3.2 KiB
R
103 lines
3.2 KiB
R
% 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{ds2dd_detailed}
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\alias{ds2dd_detailed}
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\title{Extract data from stata file for data dictionary}
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\usage{
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ds2dd_detailed(
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data,
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add.auto.id = FALSE,
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date.format = "dmy",
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form.name = NULL,
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form.sep = NULL,
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form.prefix = TRUE,
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field.type = NULL,
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field.label = NULL,
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field.label.attr = "label",
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field.validation = NULL,
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metadata = names(REDCapCAST::redcapcast_meta),
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convert.logicals = TRUE
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)
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}
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\arguments{
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\item{data}{data frame}
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\item{add.auto.id}{flag to add id column}
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\item{date.format}{date format, character string. ymd/dmy/mdy. dafault is
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dmy.}
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\item{form.name}{manually specify form name(s). Vector of length 1 or
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ncol(data). Default is NULL and "data" is used.}
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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.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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\item{field.type}{manually specify field type(s). Vector of length 1 or
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ncol(data). Default is NULL and "text" is used for everything but factors,
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which wil get "radio".}
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\item{field.label}{manually specify field label(s). Vector of length 1 or
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ncol(data). Default is NULL and colnames(data) is used or attribute
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`field.label.attr` for haven_labelled data set (imported .dta file with
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`haven::read_dta()`).}
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\item{field.label.attr}{attribute name for named labels for haven_labelled
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data set (imported .dta file with `haven::read_dta()`. Default is "label"}
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\item{field.validation}{manually specify field validation(s). Vector of
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length 1 or ncol(data). Default is NULL and `levels()` are used for factors
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or attribute `factor.labels.attr` for haven_labelled data set (imported .dta
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file with `haven::read_dta()`).}
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\item{metadata}{redcap metadata headings. Default is
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REDCapCAST:::metadata_names.}
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\item{convert.logicals}{convert logicals to factor. Default is TRUE.}
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}
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\value{
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list of length 2
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}
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\description{
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Extract data from stata file for data dictionary
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}
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\details{
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This function is a natural development of the ds2dd() function. It assumes
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that the first column is the ID-column. No checks.
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Please, do always inspect the data dictionary before upload.
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Ensure, that the data set is formatted with as much information as possible.
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`field.type` can be supplied
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}
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\examples{
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## Basic parsing with default options
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REDCapCAST::redcapcast_data |>
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dplyr::select(-dplyr::starts_with("redcap_")) |>
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ds2dd_detailed()
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## Adding a record_id field
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iris |> ds2dd_detailed(add.auto.id = TRUE)
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## Passing form name information to function
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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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## Using column name suffix to carry form name
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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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}
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