read_multiline: Read multiline FWF files

In jamesdunham/multiline: An R package for reading multiline FWF files

Description

Read multiline FWF files

Usage

read_multiline(file, lines, col_positions, col_types = NULL, skip = 0, ...)

Arguments

file	Either a path to a file, a connection, or literal data (either a single string or a raw vector). Files ending in .gz, .bz2, .xz, or .zip will be automatically uncompressed. Files starting with http://, https://, ftp://, or ftps:// will be automatically downloaded. Remote gz files can also be automatically downloaded and decompressed. Literal data is most useful for examples and tests. It must contain at least one new line to be recognised as data (instead of a path).
col_positions	Column positions, as created by fwf_empty(), fwf_widths() or fwf_positions(). To read in only selected fields, use fwf_positions(). If the width of the last column is variable (a ragged fwf file), supply the last end position as NA.
col_types	One of NULL, a cols() specification, or a string. See vignette("column-types") for more details. If NULL, all column types will be imputed from the first 1000 rows on the input. This is convenient (and fast), but not robust. If the imputation fails, you'll need to supply the correct types yourself. If a column specification created by cols(), it must contain one column specification for each column. If you only want to read a subset of the columns, use cols_only(). Alternatively, you can use a compact string representation where each character represents one column: c = character, i = integer, n = number, d = double, l = logical, D = date, T = date time, t = time, ? = guess, or _/- to skip the column.
skip	Number of lines to skip before reading data.
...	Further arguments, passed to read_lines().

Value

A data.frame.

Examples

NULL

jamesdunham/multiline documentation built on May 20, 2019, 2:25 p.m.