Nothing
#' Return melted data for each token in a whitespace-separated file
#'
#' @description
#' `r lifecycle::badge("superseded")`
#' This function has been superseded in readr and moved to [the meltr
#' package](https://r-lib.github.io/meltr/).
#'
#' For certain non-rectangular data formats, it can be useful to parse the data
#' into a melted format where each row represents a single token.
#'
#' `melt_table()` and `melt_table2()` are designed to read the type of textual
#' data where each column is separated by one (or more) columns of space.
#'
#' `melt_table2()` allows any number of whitespace characters between columns,
#' and the lines can be of different lengths.
#'
#' `melt_table()` is more strict, each line must be the same length,
#' and each field is in the same position in every line. It first finds empty
#' columns and then parses like a fixed width file.
#'
#' @seealso [melt_fwf()] to melt fixed width files where each column
#' is not separated by whitespace. `melt_fwf()` is also useful for reading
#' tabular data with non-standard formatting. [read_table()] is the
#' conventional way to read tabular data from whitespace-separated files.
#' @inheritParams read_table
#' @export
#' @examples
#' fwf <- readr_example("fwf-sample.txt")
#' writeLines(read_lines(fwf))
#' melt_table(fwf)
#'
#' ws <- readr_example("whitespace-sample.txt")
#' writeLines(read_lines(ws))
#' melt_table2(ws)
melt_table <- function(file, locale = default_locale(), na = "NA", skip = 0,
n_max = Inf, guess_max = min(n_max, 1000),
progress = show_progress(), comment = "",
skip_empty_rows = FALSE) {
if (!edition_first()) {
lifecycle::deprecate_soft("2.0.0", what = "melt_table()", details = "Please use `meltr::melt_table()` instead")
}
ds <- datasource(file, skip = skip, skip_empty_rows = skip_empty_rows)
if (inherits(ds, "source_file") && empty_file(file)) {
return(tibble::tibble(
row = double(), col = double(),
data_type = character(), value = character()
))
}
local_edition(1)
columns <- fwf_empty(ds, skip = skip, skip_empty_rows = skip_empty_rows, n = guess_max, comment = comment)
tokenizer <- tokenizer_fwf(columns$begin, columns$end,
na = na,
comment = comment,
skip_empty_rows = skip_empty_rows
)
ds <- datasource(file = ds, skip = skip, skip_empty_rows = skip_empty_rows)
out <- melt_tokens(ds, tokenizer,
locale_ = locale, n_max = n_max,
progress = progress
)
warn_problems(out)
}
#' @rdname melt_table
#' @export
melt_table2 <- function(file, locale = default_locale(), na = "NA", skip = 0,
n_max = Inf, progress = show_progress(), comment = "",
skip_empty_rows = FALSE) {
if (!edition_first()) {
lifecycle::deprecate_soft("2.0.0", what = "melt_table2()", details = "Please use `meltr::melt_table2()` instead")
}
ds <- datasource(file, skip = skip, skip_empty_rows = skip_empty_rows)
if (inherits(ds, "source_file") && empty_file(file)) {
return(tibble::tibble(
row = double(), col = double(),
data_type = character(), value = character()
))
}
tokenizer <- tokenizer_ws(
na = na, comment = comment,
skip_empty_rows = skip_empty_rows
)
ds <- datasource(file = ds, skip = skip, skip_empty_rows = skip_empty_rows)
melt_delimited(ds, tokenizer,
locale = locale, skip = skip,
comment = comment, n_max = n_max, progress = progress
)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.