Nothing
#' Format numbers with commas into numbers
#'
#' @description Turn strings containing numbers +/- commas into numbers
#' @param x the number to format
#' @return the number with commas removed
#' @keywords internal
PRISMA_format_number_ <- function(x) { #nolint
if (is.character(x)) {
x <- gsub(",", "", x)
x <- gsub("[^0-9.]", "", x)
}
as.numeric(x)
}
#' Parse an exclusion reason into a data frame
#'
#' @description Parse an exclusion reason string and returns a dataframe
#' containing reasons and number
#' @param reasons the string to parse
#' @return a dataframe containing reasons and number applicable
#' @keywords internal
#'
PRISMA_parse_reasons_ <- function(reasons) { #nolint
reasons_out <- NA
if (grepl("[^0-9,]", as.character(reasons))) {
reasons_out <- data.frame(
reason = gsub(
",.*$",
"",
unlist(
strsplit(
as.character(reasons),
split = "(;)( )?"
)
)
),
n = scales::comma(
PRISMA_format_number_( #nolint
gsub(
".*?,([ 0-9,]*)|.*()",
"\\1",
unlist(
strsplit(
as.character(reasons),
split = "(;)( )?"
)
)
)
)
)
)
} else {
reasons_out <- data.frame(
reason = "",
n = scales::comma(
PRISMA_format_number_(as.character(reasons))
)
)
}
reasons_out
}
#' Formats multiple exclusion reasons properly for printing
#'
#' @description Parse an exclusion reason dataframe from
#' [PRISMA2020::PRISMA_parse_reasons_()] and returns a properly formatted string
#' @param df the dataframe to parse
#' @return a string ready for printing
#' @keywords internal
#'
PRISMA_format_reasons_ <- function(df) { #nolint
out_string <- paste0(
":",
paste(
paste(
"\n",
df[, 1],
" (n = ", df[, 2], ")",
sep = ""
),
collapse = ""
)
)
out_string
}
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