PairedDifference {LearnNonparam} | R Documentation |
Paired Comparison Based on Differences
Description
Performs differences based paired comparison on samples.
Super classes
LearnNonparam::PermuTest
-> LearnNonparam::TwoSampleTest
-> LearnNonparam::TwoSamplePairedTest
-> PairedDifference
Active bindings
correct
Whether to apply continuity correction when
scoring
is set to"rank"
.
Methods
Public methods
Inherited methods
Method new()
Create a new PairedDifference
object.
Usage
PairedDifference$new( type = c("permu", "asymp"), method = c("with_zeros", "without_zeros"), scoring = c("none", "rank", "vw", "expon"), alternative = c("two_sided", "less", "greater"), null_value = 0, n_permu = 10000, correct = TRUE )
Arguments
type
a character string specifying the way to calculate the p-value.
method
a character string specifying the method of ranking data in computing adjusted signed scores for tied data, must be one of
"with_zeros"
(default) or"without_zeros"
.scoring
a character string specifying the scoring system.
alternative
a character string specifying the alternative hypothesis.
null_value
a number indicating the true value of the location shift.
n_permu
an integer indicating number of permutations for the permutation distribution. If set to
0
, all permutations will be used.correct
a logical indicating whether to apply continuity correction in the normal approximation for the p-value when
scoring
is set to"rank"
.
Returns
A PairedDifference
object.
Examples
pmt(
"paired.difference",
alternative = "greater", scoring = "none", n_permu = 0
)$test(Table4.1.1)$print()
pmt(
"paired.difference", n_permu = 0
)$test(Table4.1.3)$print()
t <- pmt(
"paired.difference", scoring = "rank",
alternative = "greater", n_permu = 0
)$test(Table4.1.1)$print()
t$type <- "asymp"
t