Description Usage Arguments Details Author(s)
View source: R/cochran_qtest.R
[This function is exported from RVAideMemoire package] Performs the Cochran's Q test for unreplicated randomized block design experiments with a binary response variable and paired data. If the p-value of the test is significant, the function performs pairwise comparisons by using the Wilcoxon sign test.
1 | cochran_qtest(formula, data, alpha = 0.05, p.method = "fdr")
|
formula |
a formula of the form a ~ b | c, where a, b and c give the data values and corresponding groups and blocks, respectively. a can be a numeric vector or a factor, with only two possible values. |
data |
an optional data frame containing the variables in the formula formula. By default the variables are taken from environment(formula). |
alpha |
significance level to compute pairwise comparisons. |
p.method |
method for p-values correction. See help of p.adjust. |
If the response is a 0/1 variable, the probability of the '1' group is tested. In any other cases, the response is transformed into a factor and the probability of the second level is tested.
Maxime Hervé mx.herve@gmail.com
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