Parse numbers, flexibly
This drops any non-numeric characters before or 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 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("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"))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.