melt_fwf {readr} | R Documentation |
Return melted data for each token in a fixed width file
Description
This function has been superseded in readr and moved to the meltr package.
Usage
melt_fwf(
file,
col_positions,
locale = default_locale(),
na = c("", "NA"),
comment = "",
trim_ws = TRUE,
skip = 0,
n_max = Inf,
progress = show_progress(),
skip_empty_rows = FALSE
)
Arguments
file |
Either a path to a file, a connection, or literal data (either a single string or a raw vector). Files ending in Literal data is most useful for examples and tests. To be recognised as
literal data, the input must be either wrapped with Using a value of |
col_positions |
Column positions, as created by |
locale |
The locale controls defaults that vary from place to place.
The default locale is US-centric (like R), but you can use
|
na |
Character vector of strings to interpret as missing values. Set this
option to |
comment |
A string used to identify comments. Any text after the comment characters will be silently ignored. |
trim_ws |
Should leading and trailing whitespace (ASCII spaces and tabs) be trimmed from each field before parsing it? |
skip |
Number of lines to skip before reading data. |
n_max |
Maximum number of lines to read. |
progress |
Display a progress bar? By default it will only display
in an interactive session and not while knitting a document. The automatic
progress bar can be disabled by setting option |
skip_empty_rows |
Should blank rows be ignored altogether? i.e. If this
option is |
Details
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_fwf()
parses each token of a fixed width file into a single row, but
it still requires that each field is in the same in every row of the
source file.
See Also
melt_table()
to melt fixed width files where each
column is separated by whitespace, and read_fwf()
for the conventional
way to read rectangular data from fixed width files.
Examples
fwf_sample <- readr_example("fwf-sample.txt")
cat(read_lines(fwf_sample))
# You can specify column positions in several ways:
# 1. Guess based on position of empty columns
melt_fwf(fwf_sample, fwf_empty(fwf_sample, col_names = c("first", "last", "state", "ssn")))
# 2. A vector of field widths
melt_fwf(fwf_sample, fwf_widths(c(20, 10, 12), c("name", "state", "ssn")))
# 3. Paired vectors of start and end positions
melt_fwf(fwf_sample, fwf_positions(c(1, 30), c(10, 42), c("name", "ssn")))
# 4. Named arguments with start and end positions
melt_fwf(fwf_sample, fwf_cols(name = c(1, 10), ssn = c(30, 42)))
# 5. Named arguments with column widths
melt_fwf(fwf_sample, fwf_cols(name = 20, state = 10, ssn = 12))