parse_number | R Documentation |
This parses the first number it finds, dropping any non-numeric characters before the first number and all characters after the first number. The grouping mark specified by the locale is ignored inside the number.
parse_number(x, na = c("", "NA"), locale = default_locale(), trim_ws = TRUE)
col_number()
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? |
A numeric vector (double) of parsed numbers.
Other parsers:
col_skip()
,
cols_condense()
,
cols()
,
parse_datetime()
,
parse_factor()
,
parse_guess()
,
parse_logical()
,
parse_vector()
## These all return 1000
parse_number("$1,000") ## leading `$` and grouping character `,` ignored
parse_number("euro1,000") ## leading non-numeric euro ignored
parse_number("t1000t1000") ## only parses first number found
parse_number("1,234.56")
## explicit locale specifying European grouping and decimal marks
parse_number("1.234,56", locale = locale(decimal_mark = ",", grouping_mark = "."))
## SI/ISO 31-0 standard spaces for number grouping
parse_number("1 234.56", locale = locale(decimal_mark = ".", grouping_mark = " "))
## Specifying strings for NAs
parse_number(c("1", "2", "3", "NA"))
parse_number(c("1", "2", "3", "NA", "Nothing"), na = c("NA", "Nothing"))
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