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pairwiseCI (version 0.1-21)

Confidence intervals for two sample comparisons

Description

Calculation of the parametric, nonparametric confidence intervals for the difference or ratio of location parameters, nonparametric confidence interval for the Behrens-Fisher problem and for the difference, ratio and odds-ratio of binomial proportions for comparison of independent samples. The package provides common wrapper functions to split data sets and apply confidence intervals or tests to these subsets. A by statement allows calculation of CI separately for the levels of further factors. CI are not adjusted for multiplicity.

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Version

Install

install.packages('pairwiseCI')

Monthly Downloads

280

Version

0.1-21

License

GPL

Maintainer

Frank Schaarschmidt

Last Published

February 1st, 2013

Functions in pairwiseCI (0.1-21)

plotCI.pairwiseMEP

Plot confidence intervals calculated by "pairwiseMEP"
as.data.frame.pairwiseCI

Coercing pairwiseCI objects to data.frames
pairwiseTest

Wrapper to calculate unadjusted p-values for pairwise comparisons
as.data.frame.pairwiseMEP

Coerce pairwiseMEP objects to data.frames
Oats

The Oats data set
behenic

Measurements of behenic acid in two samples
cabbage

Yield of cabbage in one-factorial field trial
pairwiseMEP

Wrapper to compute confidence intervals for multiple endpoints
summary.pairwiseCI

Summary function for pairwiseCI
sodium

Sodium contents in transgenic and isogenic corn
bean

Yield of beans in a two factorial field trial
pairwiseCI

Wrapper function for two-sample confidence intervals
rooting

Rooting (success/failure) of plants in a 3-factorial field trial
plot.pairwiseCI

Plotting the output of pairwiseCI
pairwiseCImethodsProp

Confidence intervals for two sample comparisons of binomial proportions
Prop.test

Wrapper to prop.test(stats)
print.pairwiseCI

Print function for "pairwiseCI"
print.pairwiseTest

Print function for "pairwiseTest"
pairwiseCIInt

Internal functions for pairwiseCI
pairwiseCI-package

Wrapper functions for two-sample confidence intervals and tests.
print.summary.pairwiseCI

Print function for "summary.pairwiseCI"
profileDG

Construct a (quasi-) likelihood-profile
pairwiseCImethodsCount

Confidence intervals for two sample comparisons of count data
repellent

Repellent effect of sulphur in eight concentrations
pairwiseCImethodsCont

Confidence intervals for two sample comparisons of continuous data
np.re

Nonparametric test and confidence interval based on relative effects
print.summary.pairwiseTest

Print function for "summary.pairwiseTest"
summary.pairwiseTest

Summary function for "pairwiseTest"
pairwiseTestInt

Internal functions for pairwiseTest