flat_table: Flat (proportional) tables

In sjPlot/sjmisc: Data and Variable Transformation Functions

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.

Note

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

See Also

frq for simple frequency table of labelled vectors.

Examples

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()

sjPlot/sjmisc documentation built on May 15, 2024, 6:43 p.m.