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Produces a compact letter display (cld) from pairwise comparisons that were summarized in a table of comparisons
cldList(formula = NULL, data = NULL, comparison = NULL,
p.value = NULL, threshold = 0.05, print.comp = FALSE,
remove.space = TRUE, remove.equal = TRUE, remove.zero = TRUE,
swap.colon = TRUE, swap.vs = FALSE, ...)
A formula indicating the variable holding p-values and the variable holding the comparisons. e.g. P.adj ~ Comparison.
The data frame to use.
A vector of text describing comparisons, with each element in a form similar to "Treat.A - Treat.B = 0". Spaces and "=" and "0" are removed by default
A vector of p-values corresponding to the comparisons
in the comparison
argument
The alpha value. That is, the p-value below which the comparison will be considered significant
If TRUE
, prints out a data frame of the
modified text of the comparisons. Useful for debugging
If TRUE
, removes spaces from the text of the
comparisons
If TRUE
, removes "=" from the text of the
comparisons
If TRUE
, removes "0" from the text of the
comparisons
If TRUE
, swaps ":" with "-" in the text of the
comparisons
If TRUE
, swaps "vs" with "-" in the text of the
comparisons
Additional arguments passed to
multcompLetters
A data frame of group names, group separation letters, and monospaced separtions letters
The input should include either formula
and data
;
or comparison
and p.value
.
This function relies upon the multcompLetters
function in the multcompView
package. The text for the
comparisons
passed to multcompLetters
should be in the form
"Treat.A-Treat.B". Currently cldList
removes
spaces, equal signs, and zeros, by default,
and so can use
text in the form e.g.
"Treat.A - Treat.B = 0".
It also changes ":" to "-", and so can use
text in the form e.g.
"Treat.A : Treat.B".
# NOT RUN {
data(PoohPiglet)
PoohPiglet$Speaker = factor(PoohPiglet$Speaker,
levels=c("Pooh", "Tigger", "Piglet"))
library(FSA)
DT = dunnTest(Likert ~ Speaker,
data=PoohPiglet,
method="bh")
DT = DT$res
DT
cldList(P.adj ~ Comparison,
data = DT,
threshold = 0.05)
# }
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