Creates a data.frame from the output of pairwiseTest, allows to adjust raw p-values by methods implemented in p.adjust.
## S3 method for class 'pairwiseTest'summary(object, digits =4, p.adjust.method ="none",...)
Arguments
object: An object of class "pairwiseTest", created using the function pairwiseTest
digits: number of digits for rounding of results
p.adjust.method: Method to adjust p-values for multiple hypothesis testing, see options in p.adjust.method in stats. The default in this function in "none", resulting in unadjusted p-values
...: Currently not used.
Details
Coerces the raw p-values and the corresponding group levels to a data.frame and applies p.adjust to it.
Returns
A dataframe, with columns - p.val.raw: raw p-values
p.val.adj: adjusted p-values, according to the method specified in p.adjust.method
comparison: the calculated differences or ratios of parameters
groupx: levels of group x
groupy: levels of group y
and possibly further columns containing levels of by.
Examples
data(Oats)apOats<-pairwiseTest(yield~nitro, data=Oats, by="Variety", method="t.test", var.equal=FALSE)apOats
# summary just creates a data.frame from the outputsummary(apOats)# an allows application of p.adjust# on the p.values:summary(apOats, p.adjust.method="holm")# See ?p.adjust.methods for the methods available.