Parse logicals, integers, and reals
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()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 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 = "-")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.