t3way {WRS2} | R Documentation |
A three-way ANOVA for trimmed means.
Description
This function computes a three-way ANOVA for trimmed means with all interactions effects.
Usage
t3way(formula, data, tr = 0.2, ...)
Arguments
formula |
an object of class formula. |
data |
an optional data frame for the input data. |
tr |
trim level for the mean. |
... |
currently ignored. |
Value
Returns an object of class t3way
containing:
Qa |
first main effect |
A.p.value |
p-value first main effect |
Qb |
second main effect |
B.p.value |
p-value second main effect |
Qc |
third main effect |
C.p.value |
p-value third main effect |
Qab |
first two-way interaction effect |
AB.p.value |
p-value first two-way interaction effect |
Qac |
second two-way interaction effect |
AC.p.value |
p-value second two-way interaction effect |
Qbc |
third two-way interaction effect |
BC.p.value |
p-value third two-way interaction effect |
Qabc |
three-way interaction effect |
ABC.p.value |
p-value three-way interaction effect |
call |
function call |
varnames |
variable names |
References
Wilcox, R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Elsevier.
See Also
Examples
t3way(aggressive ~ degree*gender*type, data = movie)