An implementation of a cross-tabulation function with output similar to S-Plus crosstabs() and SAS Proc Freq (or SPSS format) with Chi-square, Fisher and McNemar tests of the independence of all table factors.
CrossTable(x, y, digits=3, max.width = 5, expected=FALSE, prop.r=TRUE, prop.c=TRUE,
prop.t=TRUE, prop.chisq=TRUE, chisq = FALSE, fisher=FALSE, mcnemar=FALSE,
resid=FALSE, sresid=FALSE, asresid=FALSE,
missing.include=FALSE,
format=c("SAS","SPSS"), dnn = NULL, ...)A list with multiple components including key table data and statistical test results, where performed.
t: An n by m matrix containing table cell counts
prop.col: An n by m matrix containing cell column proportions
prop.row: An n by m matrix containing cell row proportions
prop.tbl: An n by m matrix containing cell table proportions
chisq: Results from the Chi-Square test. A list with class 'htest'. See ?chisq.test for details
chisq.corr: Results from the corrected Chi-Square test. A list with class 'htest'. See ?chisq.test for details. ONLY included in the case of a 2 x 2 table.
fisher.ts: Results from the two-sided Fisher Exact test. A list with class 'htest'. See ?fisher.test for details. ONLY included if 'fisher' = TRUE.
fisher.lt: Results from the Fisher Exact test with HA = "less". A list with class 'htest'. See ?fisher.test for details. ONLY included if 'fisher' = TRUE and in the case of a 2 x 2 table.
fisher.gt: Results from the Fisher Exact test with HA = "greater". A list with class 'htest'. See ?fisher.test for details. ONLY included if 'fisher' = TRUE and in the case of a 2 x 2 table.
mcnemar: Results from the McNemar test. A list with class 'htest'. See ?mcnemar.test for details. ONLY included if 'mcnemar' = TRUE.
mcnemar.corr: Results from the corrected McNemar test. A list with class 'htest'. See ?mcnemar.test for details. ONLY included if 'mcnemar' = TRUE and in the case of a 2 x 2 table.
resid/sresid/asresid: Pearson Residuals (from chi-square tests).
A vector or a matrix. If y is specified, x must be a vector
A vector in a matrix or a dataframe
Number of digits after the decimal point for cell proportions
In the case of a 1 x n table, the default will be to print the output horizontally. If the number of columns exceeds max.width, the table will be wrapped for each successive increment of max.width columns. If you want a single column vertical table, set max.width to 1
If TRUE, chisq will be set to TRUE and
expected cell counts from the \(\chi^2\) will be
included
If TRUE, row proportions will be included
If TRUE, column proportions will be included
If TRUE, table proportions will be included
If TRUE, chi-square contribution of each cell will be included
If TRUE, the results of a chi-square test will
be included
If TRUE, the results of a Fisher Exact test will
be included
If TRUE, the results of a McNemar test will
be included
If TRUE, residual (Pearson) will be included
If TRUE, standardized residual will be included
If TRUE, adjusted standardized residual will be included
If TRUE, then remove any unused factor levels
Either SAS (default) or SPSS, depending on the type of output desired.
the names to be given to the dimensions in the result (the dimnames names).
optional arguments
Marc Schwartz marc_schwartz@comcast.net. Original version posted to r-devel on Jul 27, 2002. SPSS format modifications added by Nitin Jain based upon code provided by Dirk Enzmann dirk.enzmann@jura.uni-hamburg.de
A summary table will be generated with cell row, column and table proportions and marginal totals and proportions. Expected cell counts can be printed if desired (if 'chisq = TRUE'). In the case of a 2 x 2 table, both corrected and uncorrected values will be included for appropriate tests. In the case of tabulating a single vector, cell counts and table proportions will be printed.
Note: If 'x' is a vector and 'y' is not specified, no statistical tests
will be performed, even if any are set to TRUE.
# Simple cross tabulation of education versus prior induced abortions
# using infertility data
data(infert, package = "datasets")
CrossTable(infert$education, infert$induced, expected = TRUE)
CrossTable(infert$education, infert$induced, expected = TRUE, format="SAS")
CrossTable(infert$education, infert$induced, expected = TRUE, format="SPSS")
CrossTable(warpbreaks$wool, warpbreaks$tension, dnn = c("Wool", "Tension"))
Run the code above in your browser using DataLab