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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.
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()
Character vector of values to parse.
Character vector of strings to interpret as missing values. Set this
option to character()
to indicate no missing values.
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.
Should leading and trailing whitespace (ASCII spaces and tabs) be trimmed from each field before parsing it?
Other parsers:
col_skip()
,
cols_condense()
,
cols()
,
parse_datetime()
,
parse_factor()
,
parse_guess()
,
parse_number()
,
parse_vector()
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 = "-")
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