frq: Frequencies of labelled variables

Description Usage Arguments Value Note See Also Examples

Description

This function returns a frequency table of labelled vectors, as data frame.

Usage

1
frq(x, sort.frq = c("none", "asc", "desc"), weight.by = NULL)

Arguments

x

A labelled vector or a data.frame with labelled vectors. May also be a grouped data frame (see 'Note' and 'Examples').

sort.frq

Determines whether categories should be sorted according to their frequencies or not. Default is "none", so categories are not sorted by frequency. Use "asc" or "desc" for sorting categories ascending or descending order.

weight.by

Vector of weights that will be applied to weight all observations. Must be a vector of same length as the input vector. Default is NULL, so no weights are used.

Value

A data frame with values, value labels, frequencies, raw, valid and cumulative percentages of x.

Note

x may also be a grouped data frame (see group_by) with up to two grouping variables. Frequency tables are created for each subgroup then.

See Also

flat_table for labelled (proportional) tables.

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
library(haven)
# create labelled integer
x <- labelled(c(1, 2, 1, 3, 4, 1),
              c(Male = 1, Female = 2, Refused = 3, "N/A" = 4))
frq(x)

x <- labelled(c(1:3, tagged_na("a", "c", "z"), 4:1, 2:3),
              c("Agreement" = 1, "Disagreement" = 4, "First" = tagged_na("c"),
                "Refused" = tagged_na("a"), "Not home" = tagged_na("z")))
frq(x)

# in a pipe
data(efc)
library(dplyr)
efc %>% select(e42dep, e15relat, c172code) %>% frq()

# with grouped data frames, in a pipe
efc %>%
  group_by(e16sex, c172code) %>%
  select(e16sex, c172code, e42dep) %>%
  frq()

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.