crosstab: Cross Tabulation

Description

This function creates a two-way and three-way cross tabulation with absolute frequencies and row-wise, column-wise and total percentages.

Usage

crosstab(x, print = c("no", "all", "row", "col", "total"), freq = TRUE,
         split = FALSE, na.omit = TRUE, digits = 2, as.na = NULL,
         write = NULL, check = TRUE, output = TRUE)

Value

Returns an object of class misty.object, which is a list with following entries:

call: function call
type: type of analysis
data: matrix or data frame specified in x
args: specification of function arguments
result: list with result tables, i.e., crosstab for the cross tabulation, freq.a for the absolute frequencies, perc.r for the row-wise percentages, perc.c for the column-wise percentages, perc.t for the total percentages

Arguments

x: a matrix or data frame with two or three columns.
print: a character string or character vector indicating which percentage(s) to be printed on the console, i.e., no percentages ("no") (default), all percentages ("all"), row-wise percentages ("row"), column-wise percentages ("col"), and total percentages ("total").
freq: logical: if TRUE, absolute frequencies will be included in the cross tabulation.
split: logical: if TRUE, output table is split in absolute frequencies and percentage(s).
na.omit: logical: if TRUE, incomplete cases are removed before conducting the analysis (i.e., listwise deletion).
digits: an integer indicating the number of decimal places digits to be used for displaying percentages.
as.na: a numeric vector indicating user-defined missing values, i.e. these values are converted to NA before conducting the analysis.
write: a character string for writing the results into a Excel file naming a file with or without file extension '.xlsx', e.g., "Results.xlsx" or "Results".
check: logical: if TRUE, argument specification is checked.
output: logical: if TRUE, output is printed on the console.

Author

Takuya Yanagida takuya.yanagida@univie.ac.at

write.result, freq, descript, multilevel.descript, na.descript.

References

Rasch, D., Kubinger, K. D., & Yanagida, T. (2011). Statistics in psychology - Using R and SPSS. John Wiley & Sons.