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81 lines
2.6 KiB
R
81 lines
2.6 KiB
R
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utils::globalVariables(c("metadata_names"))
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#' Data set to data dictionary function
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#'
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#' @param ds data set
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#' @param record.id name or column number of id variable, moved to first row of
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#' data dictionary, character of integer. Default is "record_id".
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#' @param form.name vector of form names, character string, length 1 or length
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#' equal to number of variables. Default is "basis".
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#' @param field.type vector of field types, character string, length 1 or length
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#' equal to number of variables. Default is "text.
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#' @param field.label vector of form names, character string, length 1 or length
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#' equal to number of variables. Default is NULL and is then identical to field
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#' names.
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#' @param include.column.names Flag to give detailed output including new
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#' column names for original data set for upload.
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#'
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#' @return data.frame or list of data.frame and vector
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#' @export
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#'
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#' @examples
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#' talos$id <- seq_len(nrow(talos))
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#' ds2dd(talos, record.id="id",include.column.names=FALSE)
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ds2dd <-
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function(ds,
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record.id = "record_id",
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form.name = "basis",
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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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dd <- data.frame(matrix(ncol = length(metadata_names), nrow = ncol(ds)))
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colnames(dd) <- metadata_names
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if (is.character(record.id) & !record.id %in% colnames(ds)) {
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stop("Provided record.id is not a variable name in provided data set.")
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}
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# renaming to lower case and substitute spaces with underscore
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field.name <- gsub(" ", "_", tolower(colnames(ds)))
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# handles both character and integer
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colsel <-
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colnames(ds) == colnames(ds[record.id])
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if (summary(colsel)[3] != 1) {
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stop("Provided record.id has to be or refer to a uniquely named column.")
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}
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dd[, "field_name"] <-
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c(field.name[colsel], field.name[!colsel])
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if (length(form.name) > 1 & length(form.name) != ncol(ds)) {
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stop(
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"Provided form.name should be of length 1 (value is reused) or equal
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length as number of variables in data set."
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)
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}
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dd[, "form_name"] <- form.name
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if (length(field.type) > 1 & length(field.type) != ncol(ds)) {
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stop(
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"Provided field.type should be of length 1 (value is reused) or equal
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length as number of variables in data set."
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)
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}
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dd[, "field_type"] <- field.type
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if (is.null(field.label)) {
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dd[, "field_label"] <- dd[, "field_name"]
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} else
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dd[, "field_label"] <- field.label
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if (include.column.names){
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list("DataDictionary"=dd,"Column names"=field.name)
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} else dd
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}
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