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.
a character string giving the name of the global test computed.
data.name
a character string giving the name(s) of the data.
alternative
a character string describing the alternative hypothesis.
estimate
the estimated probabilities.
null.value
the value of the difference in probabilities under the null hypothesis, always 0.
statistic
test statistics (Pearson's Chi-squared test only).
parameter
test degrees of freedom (Pearson's Chi-squared test only).
p.value
p-value of the global test.
alpha
significance level.
p.adjust.method
method for p-values correction.
p.value.multcomp
data frame of pairwise comparisons result.
method.multcomp
a character string giving the name of the test computed for pairwise comparisons.
Arguments
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.
Author
Maxime HERVE <maxime.herve@univ-rennes1.fr>
Details
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.