Description Usage Arguments Details Value Author(s) Examples
Calculate the p-value for categorial variables.
The decision which test to use is equal to m.cat
.
The p-value is calculated using one of the three tests:
Wilcoxon-Test, McNemar-Test, Chi-Squared-Test.
1 2 3 4 5 6 7 8 9 10 11 | p.cat(
x,
group,
paired = F,
is.ordered = F,
correct.cat = F,
correct.wilcox = T,
index = c(),
create = "tex",
default.unordered.unpaired.test = "Chisq"
)
|
x |
Vector of the categorial variable. |
group |
Vector of the grouping variable. |
paired |
Logical. Is the categorial Variable paired? |
is.ordered |
Logical. Is the categorial Variable ordered? |
correct.cat |
Logical. Should correction be used in chi-sqared tests (see |
correct.wilcox |
Logical. Should correction be used in wilcoxon tests (see |
index |
Optional. Label for the footnote. The footnotes aren't produced in this function. |
create |
Which output document should be produced in the following step
(one of "pdf", "tex", "knitr", or "word").
Only usefull if |
Wilcoxon-Test: A Test for a comparison of 2 (in)dependent, ordered samples.
(see wilcox.test
).
Kruskal_wallis-Test: A Test for a comparison of more than 2 (in)dependent,
ordered samples. (see kruskal.test
).
McNemar Test: A Test for a comparison of 2 dependent,
not ordered samples. (see mcnemar.test
).
Chi-Squared Test: A Test for a comparison of 2 or more than 2 independent,
not ordered samples. (see CochranQTest
).
Cochran's Q Test: A test for a comparison of 2 or more than 2 dependent,
not ordered samples. (see chisq.test
).
The p-value with index which test is ussed is returned.
Lorenz Uhlmann, Csilla van Lunteren
1 2 3 4 |
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