readr (version 0.1.1)

collector: Parse character vectors into typed columns.

Description

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.

Usage

col_character()
parse_character(x)
col_integer()
parse_integer(x)
col_double()
parse_double(x)
col_euro_double()
parse_euro_double(x)
col_numeric()
parse_numeric(x)
col_logical()
parse_logical(x)
col_factor(levels, ordered = FALSE)
parse_factor(x, levels, ordered = FALSE)
col_skip()

Arguments

x

Character vector of values to parse.

levels

Character vector providing set of allowed levels.

ordered

Is it an ordered factor?

See Also

parse_datetime, type_convert to automatically re-parse all character columns in a data frame.

Examples

parse_integer(c("1", "2", "3"))
parse_double(c("1", "2", "3.123"))
parse_euro_double(c("1", "2", "3,123"))
parse_factor(c("a", "b"), letters)
parse_numeric("$1,123,456.000")

# If there are parsing problems, you'll get a warning message saying
# how many. Use problems() to access a data frame giving more details.
x <- parse_integer(c("1X", "blah", "3"))
problems(x)