extract_p {multcompView} | R Documentation |
For a given object it will look for the column named "p adj" or "difference" and extract its value mantaining its names
extract_p(x) ## Default S3 method: extract_p(x) ## S3 method for class 'TukeyHSD' extract_p(x) ## S3 method for class 'mc' extract_p(x)
x |
A object that has p-values or logical values. |
A named vector with p-values or logical values.
default
:
TukeyHSD
: extract p values from a TukeyHSD object
mc
:
Luciano Selzer
experiment <- data.frame(treatments = gl(11, 20, labels = c("dtl", "ctrl", "treat1", "treat2", "treatA2", "treatB", "treatB2", "treatC", "treatD", "treatA1", "treatX")), y = c(rnorm(20, 10, 5), rnorm(20, 20, 5), rnorm(20, 22, 5), rnorm(20, 24, 5), rnorm(20, 35, 5), rnorm(20, 37, 5), rnorm(20, 40, 5), rnorm(20, 43, 5), rnorm(20, 45, 5), rnorm(20, 60, 5), rnorm(20, 60, 5))) exp_tukey <- TukeyHSD(exp_aov <- aov(y ~ treatments, data = experiment)) extract_p(exp_tukey) if(require(pgirmess)){ extract_p(kruskalmc(y ~ treatments, data = experiment)) }