tmeanTwoWay | R Documentation |
tmeanTwoWay
computes a two-way ANOVA for trimmed means.
tmeanTwoWay(formula, data, tr = 0.1, alpha = 0.05, na.rm = TRUE, verbose = TRUE)
formula |
a formula of the form |
data |
a data frame containing the variables in |
tr |
the rate of observations trimmed from each tail of the distribution. Default is set to 0.1. |
alpha |
the level of significance to assess the statistical difference. Default is set to 0.05. |
na.rm |
a logical value indicating whether NA values should be stripped before the computation proceeds. |
verbose |
a logical for printing output to R console. |
A list containing the following components:
output |
a data frame of output. |
alpha |
the level of significance to assess the statistical difference. |
method |
the method name. |
data |
a data frame containing the variables in which NA values (if exist) are removed. |
formula |
a formula of the form |
Muhammed Ali Yilmaz, Osman Dag
Dag, O., Kasikci, M., Yilmaz, M.A., Weerahandi, S., Ananda, M.M.A. (2024). twowaytests: An R Package for Two-Way Tests in Independent Groups Designs. SoftwareX, 27, 1-8.
Wilcox, R.R. (2011). Introduction to robust estimation and hypothesis testing. Academic press.
t2way
library(twowaytests)
data(alveolar)
tmeanTwoWay(cell ~ ovalbumin*treatment, data = alveolar)
out <- tmeanTwoWay(cell ~ ovalbumin*treatment, data = alveolar, verbose = FALSE)
paircompTwoWay(out)
out <- tmeanTwoWay(cell ~ treatment*ovalbumin, data = alveolar, verbose = FALSE)
paircompTwoWay(out)
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