Studentized {LearnNonparam} | R Documentation |
Multiple Comparison Based on Studentized Statistic
Description
Performs studentized statistic based multiple comparison on samples.
Super classes
LearnNonparam::PermuTest
-> LearnNonparam::KSampleTest
-> LearnNonparam::MultipleComparison
-> Studentized
Methods
Public methods
Inherited methods
Method new()
Create a new Studentized
object.
Usage
Studentized$new( type = c("permu", "asymp"), method = c("bonferroni", "tukey"), scoring = c("none", "rank", "vw", "expon"), conf_level = 0.95, n_permu = 10000 )
Arguments
type
a character string specifying the way to calculate the p-value.
method
a character string specifying whether to use Bonferroni's method or Tukey's HSD method.
scoring
a character string specifying the scoring system.
conf_level
a number between zero and one indicating the family-wise confidence level to use.
n_permu
an integer indicating number of permutations for the permutation distribution. If set to
0
, all permutations will be used.
Returns
A Studentized
object.
Examples
t <- pmt(
"multcomp.studentized", method = "bonferroni"
)$test(Table3.3.1)$print()
t$type <- "asymp"
t
t$scoring <- "rank"
t
t$method <- "tukey"
t
t$scoring <- "none"
t
t$type <- "permu"
t
[Package LearnNonparam version 1.2.9 Index]