subtable: data.frame reduction

In extracat: Categorical Data Analysis and Visualization

Description

Reduces a data.frame into a frequency table with prespecified entries. Uses a modified version of the count function which also accepts weights. Zero-entries can be included or excluded and the variables can be coerced into factors if necessary.

Usage

subtable(data, cols, freqvar = "Freq", 
		keep.zero = FALSE, allfactor = FALSE, return.type = class(data))

Arguments

data	The data.frame to reduce.
cols	An ordered integer vector containing the indices of the colums to keep.
freqvar	Optional name of a frequency variable in V.
keep.zero	A logical indicating whether to include zero-cases in the output.
allfactor	A logical indicating whether to convert all variables into factor variables. Integer variables will be applied a fitting (non-lexicographic) level order.
return.type	The function is able to convert the output to a data.frame or table. The default is to use the same type as the input had.

Details

This function uses count as a workhorse and offers additional arguments keep.zero and allfactor. Both raw datasets, datasets with a frequency variable and tables can be handled.

Value

A data.frame including a "Freq" variable.

Author(s)

Alexander Pilhoefer
Department for Computer Oriented Statistics and Data Analysis
University of Augsburg
Germany

Examples

require(MASS)
hs2 = subtable(housing,c(3,1))
summary(hs2)

A <- arsim(33333,c(11,11,11,11),3)
subtable(A, c(1,4))

extracat documentation built on July 17, 2018, 5:05 p.m.