rttestPS: Robust Paired Samples T-Test

In walrus: Robust Statistical Methods

Robust Paired Samples T-Test

Description

Robust Paired Samples T-Test

Usage

rttestPS(data, pairs, tr = 0.2, md = FALSE, es = FALSE, ci = FALSE)

Arguments

data	the data as a data frame
pairs	a list of lists specifying the pairs of measurement in data
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
md	TRUE or FALSE (default), provide means and standard errors
es	TRUE or FALSE (default), provide effect sizes
ci	TRUE or FALSE (default), provide confidence intervals

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(anorexia, package='MASS')
anorexiaFT <- subset(anorexia, subset = Treat == "FT")

rttestPS(anorexiaFT,
         pairs = list(
             list(i1 = 'Prewt', i2 = 'Postwt')))

#
#  ROBUST PAIRED SAMPLES T-TEST
#
#  Robust Paired Samples T-Test
#  ---------------------------------------------
#                       t        df      p
#  ---------------------------------------------
#    Prewt    Postwt    -3.83    10.0    0.003
#  ---------------------------------------------
#

walrus documentation built on Sept. 8, 2022, 9:07 a.m.