sjmisc (version 2.5.0)

frq: Frequencies of labelled variables

Description

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

Usage

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

Arguments

x

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

...

Optional, unquoted names of variables that should be selected for further processing. Required, if x is a data frame (and no vector) and only selected variables from x should be processed. You may also use functions like : or dplyr's select_helpers. See 'Examples' or package-vignette.

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 list of data frames with values, value labels, frequencies, raw, valid and cumulative percentages of x.

See Also

flat_table for labelled (proportional) tables.

Examples

# NOT RUN {
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()

# or:
# frq(efc, e42dep, e15relat, c172code)

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

# with select-helpers: all variables from the COPE-Index
# (which all have a "cop" in their name)
frq(efc, contains("cop"))

# all variables from column "c161sex" to column "c175empl"
frq(efc, c161sex:c175empl)

# }