MestTwoWay | R Documentation |
MestTwoWay
computes a two-way ANOVA for M-estimators.
MestTwoWay(formula, data, estimator = c("mom_est", "onestep_est", "median"),
nboot = 500, distance = c("mahalanobis", "projected"), seed = 123, alpha = 0.05,
na.rm = TRUE, verbose = TRUE)
formula |
a formula of the form |
data |
a data frame containing the variables in |
estimator |
a character string to select one of the estimators. "mom_est": the modified one-step estimator of location based on Huber's Psi, "onestep_est": one-step estimator of location using Huber's Psi, "median": median. |
nboot |
the number of bootstrap samples. |
distance |
the specified distance. Default is set to "mahalanobis". |
seed |
a seed number for the reproducibility of results. Default is set to 123. |
alpha |
the level of significance to assess the statistical difference. Default is set to alpha = 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
Wilcox, R.R. (2011). Introduction to robust estimation and hypothesis testing. Academic press.
t2way
library(twowaytests)
data(alveolar)
MestTwoWay(cell ~ ovalbumin*treatment, data = alveolar)
out <- MestTwoWay(cell ~ ovalbumin*treatment, data = alveolar, verbose = FALSE)
paircompTwoWay(out)
out <- MestTwoWay(cell ~ treatment*ovalbumin, data = alveolar, verbose = FALSE)
paircompTwoWay(out)
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