parse_atomic: Parse logicals, integers, and reals

In readr: Read Rectangular Text Data

Parse logicals, integers, and reals

Description

Use ⁠parse_*()⁠ if you have a character vector you want to parse. Use ⁠col_*()⁠ in conjunction with a ⁠read_*()⁠ function to parse the values as they're read in.

Usage

parse_logical(x, na = c("", "NA"), locale = default_locale(), trim_ws = TRUE)

parse_integer(x, na = c("", "NA"), locale = default_locale(), trim_ws = TRUE)

parse_double(x, na = c("", "NA"), locale = default_locale(), trim_ws = TRUE)

parse_character(x, na = c("", "NA"), locale = default_locale(), trim_ws = TRUE)

col_logical()

col_integer()

col_double()

col_character()

Arguments

x	Character vector of values to parse.
na	Character vector of strings to interpret as missing values. Set this option to character() to indicate no missing values.
locale	The locale controls defaults that vary from place to place. The default locale is US-centric (like R), but you can use locale() to create your own locale that controls things like the default time zone, encoding, decimal mark, big mark, and day/month names.
trim_ws	Should leading and trailing whitespace (ASCII spaces and tabs) be trimmed from each field before parsing it?

See Also

Other parsers: col_skip(), cols_condense(), cols(), parse_datetime(), parse_factor(), parse_guess(), parse_number(), parse_vector()

Examples

parse_integer(c("1", "2", "3"))
parse_double(c("1", "2", "3.123"))
parse_number("$1,123,456.00")

# Use locale to override default decimal and grouping marks
es_MX <- locale("es", decimal_mark = ",")
parse_number("$1.123.456,00", locale = es_MX)

# Invalid values are replaced with missing values with a warning.
x <- c("1", "2", "3", "-")
parse_double(x)
# Or flag values as missing
parse_double(x, na = "-")

readr documentation built on May 29, 2024, 2:37 a.m.