parse_atomic {minty} | R Documentation |
Parse logicals, integers, and reals
Description
Use parse_*()
if you have a character vector you want to parse.
Usage
parse_logical(
x,
na = c("", "NA"),
locale = default_locale(),
trim_ws = TRUE,
.return_problems = FALSE
)
parse_integer(
x,
na = c("", "NA"),
locale = default_locale(),
trim_ws = TRUE,
.return_problems = FALSE
)
parse_double(
x,
na = c("", "NA"),
locale = default_locale(),
trim_ws = TRUE,
.return_problems = FALSE
)
parse_character(
x,
na = c("", "NA"),
locale = default_locale(),
trim_ws = TRUE,
.return_problems = FALSE
)
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 |
locale |
The locale controls defaults that vary from place to place.
The default locale is US-centric (like R), but you can use
|
trim_ws |
Should leading and trailing whitespace (ASCII spaces and tabs) be trimmed from each field before parsing it? |
.return_problems |
Whether to hide the |
Value
a parsed vector
See Also
Other parsers:
col_skip()
,
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 = "-")