R: Cross Tabulation with Tests for Factor Independence
CrossTable
R Documentation
Cross Tabulation with Tests for Factor Independence
Description
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.
A vector or a matrix. If y is specified, x must be a vector
y
A vector in a matrix or a dataframe
digits
Number of digits after the decimal point for cell
proportions
max.width
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
expected
If TRUE, chisq will be set to TRUE and
expected cell counts from the Chi-Square will be
included
prop.r
If TRUE, row proportions will be included
prop.c
If TRUE, column proportions will be included
prop.t
If TRUE, table proportions will be included
prop.chisq
If TRUE, chi-square contribution of each cell will be included
chisq
If TRUE, the results of a chi-square test will
be included
fisher
If TRUE, the results of a Fisher Exact test will
be included
mcnemar
If TRUE, the results of a McNemar test will
be included
resid
If TRUE, residual (Pearson) will be included
sresid
If TRUE, standardized residual will be included
asresid
If TRUE, adjusted standardized residual will be included
missing.include
If TRUE, then remove any unused factor levels
format
Either SAS (default) or SPSS, depending on the type of
output desired.
dnn
the names to be given to the dimensions in the result (the dimnames names).
...
optional arguments
Details
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.
Value
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.