View source: R/pairwiseMedianMatrix.r
pairwiseMedianMatrix | R Documentation |
Conducts pairwise Mood's median tests across groups.
pairwiseMedianMatrix(
formula = NULL,
data = NULL,
x = NULL,
g = NULL,
digits = 4,
method = "fdr",
...
)
formula |
A formula indicating the measurement variable and the grouping variable. e.g. y ~ group. |
data |
The data frame to use. |
x |
The response variable as a vector. |
g |
The grouping variable as a vector. |
digits |
The number of significant digits to round output. |
method |
The p-value adjustment method to use for multiple tests.
See |
... |
Additional arguments passed to
|
The input should include either formula
and data
;
or x
, and g
.
Mood's median test compares medians among two or more groups. See https://rcompanion.org/handbook/F_09.html for futher discussion of this test.
The pairwiseMedianMatrix
function
can be used as a post-hoc method following an omnibus Mood's
median test. It passes the data for pairwise groups to
coin::median_test
.
The matrix output can be converted to a compact letter display, as in the example.
A list consisting of: a matrix of p-values; the p-value adjustment method; a matrix of adjusted p-values.
The parsing of the formula is simplistic. The first variable on the left side is used as the measurement variable. The first variable on the right side is used for the grouping variable.
Salvatore Mangiafico, mangiafico@njaes.rutgers.edu
https://rcompanion.org/handbook/F_09.html
pairwiseMedianTest
data(PoohPiglet)
PoohPiglet$Speaker = factor(PoohPiglet$Speaker,
levels = c("Pooh", "Tigger", "Piglet"))
PT = pairwiseMedianMatrix(Likert ~ Speaker,
data = PoohPiglet,
exact = NULL,
method = "fdr")$Adjusted
PT
library(multcompView)
multcompLetters(PT,
compare="<",
threshold=0.05,
Letters=letters)
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