rttestIS {walrus} | R Documentation |
Robust Independent Samples T-Test
Description
Robust Independent Samples T-Test
Usage
rttestIS(
data,
deps,
group,
yuen = TRUE,
tr = 0.2,
mest = FALSE,
method = "mom",
yuenbt = FALSE,
nboot = 599,
md = FALSE,
ci = FALSE,
es = FALSE,
esci = FALSE
)
Arguments
data |
the data as a data frame |
deps |
a vector of strings naming the dependent variables in
|
group |
a string naming the grouping variable in |
yuen |
|
tr |
a number between 0 and 0.5, (default: 0.2), the proportion of measurements to trim from each end, when using the trim and bootstrap methods |
mest |
|
method |
|
yuenbt |
|
nboot |
a number (default: 599) specifying the number of bootstrap samples to use when using the bootstrap method |
md |
|
ci |
|
es |
|
esci |
|
Value
A results object containing:
results$ttest | the table of t-test results | ||||
Tables can be converted to data frames with asDF
or as.data.frame
. For example:
results$ttest$asDF
as.data.frame(results$ttest)
Examples
data('eurosoccer', package='WRS2')
SpainGermany <- subset(eurosoccer, eurosoccer$League == 'Spain' | eurosoccer$League == 'Germany')
SpainGermany <- droplevels(SpainGermany)
rttestIS(SpainGermany,
dep = 'GoalsScored',
group = 'League',
yuen = TRUE,
mest = TRUE)
#
# ROBUST INDEPENDENT SAMPLES T-TEST
#
# Robust Independent Samples T-Test
# ---------------------------------------------------------
# t df p
# ---------------------------------------------------------
# GoalsScored Yuen's test 0.297 17.3 0.770
# M-estimator -0.933 0.993
# ---------------------------------------------------------
#