#' @title
#' A Evaluate a Parsed Expression
#'
#' @description
#' For the inverse, see \code{\link{vector_to_string}}.
#'
#' @importFrom rlang parse_expr
#' @export
#' @example inst/examples/str_to_vctr.R
#' @rdname str_to_vctr
str_to_vctr <-
function(string) {
eval(rlang::parse_expr(string))
}
#' @title
#' Convert a vector of values into a string
#'
#' @description
#' Store values neatly in an Excel or other dataframe for summary or record-keeping, but is in a format that can be readily parsed back to an expression if need be. This is important in cases where the names of columns want to be saved for a dataframe in a particular script to reference back or to QA later on. The string can be converted back to a vector by its counterpart function string_to_vector() in this package.
#' @export
#' @example inst/examples/str_to_vctr.R
#' @rdname vctr_to_str
vctr_to_str <-
function(vector,
quote = "'",
collapse = ", ") {
vector <- as.character(vector)
# Enquoting the strings
vector <- sprintf("%s%s%s", quote, vector, quote)
# Adding commas and bordering with c()
sprintf("c(%s)", paste(vector, collapse = collapse))
}
#' @title
#' Convert a vector of values into a string
#'
#' @description
#' Store values neatly in an Excel or other dataframe for summary or record-keeping, but is in a format that can be readily parsed back to an expression if need be. This is important in cases where the names of columns want to be saved for a dataframe in a particular script to reference back or to QA later on. The string can be converted back to a vector by its counterpart function string_to_vector() in this package.
#' @export
#' @example inst/examples/str_to_vctr.R
#' @rdname vctr_to_str_nl
vctr_to_str_nl <-
function(vector,
quote = "'") {
vector <- as.character(vector)
# Enquoting the strings
vector <- sprintf(" %s%s%s", quote, vector, quote)
vector <- paste(vector, collapse = ",\n")
# Adding commas and bordering with c()
sprintf(" c(\n%s\n )", vector)
}
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