Parse using the "best" type

parse_guess() returns the parser vector; guess_parser() returns the name of the parser. These functions use a number of heuristics to determine which type of vector is "best". Generally they try to err of the side of safety, as it's straightforward to override the parsing choice if needed.

parse_guess(x, na = c("", "NA"), locale = default_locale(),
  trim_ws = TRUE, guess_integer = FALSE)

col_guess()

guess_parser(x, locale = default_locale(), guess_integer = FALSE)

Arguments

x	Character vector of values to parse.
na	Character vector of strings to interpret as missing values. Set this option to character() to indicate no missing values.
locale	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.
trim_ws	Should leading and trailing whitespace be trimmed from each field before parsing it?
guess_integer	If TRUE, guess integer types for whole numbers, if FALSE guess numeric type for all numbers.

See also

Other parsers: col_skip, cols_condense, cols, parse_datetime, parse_factor, parse_logical, parse_number, parse_vector

Examples

# Logical vectors
parse_guess(c("FALSE", "TRUE", "F", "T"))
#> [1] FALSE  TRUE FALSE  TRUE

# Integers and doubles
parse_guess(c("1","2","3"))
#> [1] 1 2 3
parse_guess(c("1.6","2.6","3.4"))
#> [1] 1.6 2.6 3.4

# Numbers containing grouping mark
guess_parser("1,234,566")
#> [1] "number"
parse_guess("1,234,566")
#> [1] 1234566

# ISO 8601 date times
guess_parser(c("2010-10-10"))
#> [1] "date"
parse_guess(c("2010-10-10"))
#> [1] "2010-10-10"