sjmisc (version 2.8.7)

flat_table: Flat (proportional) tables

Description

This function creates a labelled flat table or flat proportional (marginal) table.

Usage

flat_table(
  data,
  ...,
  margin = c("counts", "cell", "row", "col"),
  digits = 2,
  show.values = FALSE,
  weights = NULL
)

Arguments

data

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

...

One or more variables of data that should be printed as table.

margin

Specify the table margin that should be computed for proportional tables. By default, counts are printed. Use margin = "cell", margin = "col" or margin = "row" to print cell, column or row percentages of the table margins.

digits

Numeric; for proportional tables, digits indicates the number of decimal places.

show.values

Logical, if TRUE, value labels are prefixed by the associated value.

weights

Bare name, or name as string, of a variable in x that indicates the vector of weights, which will be applied to weight all observations. Default is NULL, so no weights are used.

Value

An object of class ftable.

See Also

frq for simple frequency table of labelled vectors.

Examples

# NOT RUN {
data(efc)

# flat table with counts
flat_table(efc, e42dep, c172code, e16sex)

# flat table with proportions
flat_table(efc, e42dep, c172code, e16sex, margin = "row")

# flat table from grouped data frame. You need to select
# the grouping variables and at least two more variables for
# cross tabulation.
library(dplyr)
efc %>%
  group_by(e16sex) %>%
  select(e16sex, c172code, e42dep) %>%
  flat_table()

efc %>%
  group_by(e16sex, e42dep) %>%
  select(e16sex, e42dep, c172code, n4pstu) %>%
  flat_table()

# now it gets weird...
efc %>%
  group_by(e16sex, e42dep) %>%
  select(e16sex, e42dep, c172code, n4pstu, c161sex) %>%
  flat_table()
# }