Nothing
#' factor_to_character
#'
#' Takes a dataframe and converts any factor variables to character
#' @param dsin input dataframe
#' @param vars variables to consider for conversion. Default NULL will consider
#' every variable within the dataset
#' @keywords internal
factor_to_character <- function(dsin, vars = NULL) {
if (is.null(vars)) vars <- names(dsin)
for (var in vars) {
if (is.factor(dsin[[var]])) {
dsin[[var]] <- as.character(dsin[[var]])
}
}
return(dsin)
}
#' has_unique_rows
#'
#' Check if a data sets rows are unique
#' @param DAT input data set (data frame)
#' @param KEYS Set of keys which should be unique
#' @keywords internal
has_unique_rows <- function(DAT, KEYS) {
DUPS <- duplicated(subset(DAT, select = KEYS))
NDUPS <- sum(DUPS)
return(NDUPS == 0)
}
#' convert_to_issue
#'
#' converts the count value into the correct issue format
#' @param datin data inputted
#' @importFrom tibble rownames_to_column
#' @keywords internal
convert_to_issue <- function(datin) {
datin_tibble <- tibble(
`Variable` = names(datin),
`No of Differences` = datin
)
datin_tibble_reduced <- datin_tibble[datin_tibble[["No of Differences"]] > 0, , drop = FALSE]
return(datin_tibble_reduced)
}
#' Describe the datasets being compared
#'
#' This function is used to produce a basic summary table of the core
#' features of the two `data.frame`'s being compared.
#' @param base (`data.frame`)\cr base dataset to be described
#' @param comp (`data.frame`)\cr comparison dataset to be described
#' @param base_name (`character`)\cr name of the base dataset
#' @param comp_name (`character`)\cr name of the comparison dataset
#' @keywords internal
describe_dataframe <- function(base, comp, base_name, comp_name) {
tibble(
PROPERTY = list(
"Name",
"Class",
"Rows(#)",
"Columns(#)"
),
BASE = c(
base_name,
paste(class(base), collapse = ", "),
as.character(nrow(base)),
as.character(ncol(base))
),
COMP = c(
comp_name,
paste(class(comp), collapse = ", "),
as.character(nrow(comp)),
as.character(ncol(comp))
)
)
}
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