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pairwiseCI (version 0.1-17)

Confidence intervals for two sample comparisons

Description

Calculation of the parametric, nonparametric confidence intervals for the difference or ratio of location parameters and for the difference, ratio and odds-ratio of binomial proportions for comparison of independent samples. CI are not adjusted for multiplicity. A by statement allows calculation of CI separately for the levels of further factors. Please note that, when a (generalized) linear model can be reasonably assumed, there are smarter methods for CI calculation available than are implemented in this package!

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Version

Install

install.packages('pairwiseCI')

Monthly Downloads

280

Version

0.1-17

License

GPL

Maintainer

Frank Schaarschmidt

Last Published

October 14th, 2009

Functions in pairwiseCI (0.1-17)

pairwiseCIInt

Internal functions for pairwiseCI
as.data.frame.pairwiseMEP

Coerce "pairwiseMEP" to "data.frame"
sodium

Sodium contents in transgenic and isogenic corn
cabbage

Yield of cabbage in one-factorial field trial
pairwiseTestInt

Internal functions for pairwiseTest
as.data.frame.pairwiseCI

Coercing "pairwiseCI" to a "data.frame"
dieldrin

Dieldrin in fish from two different rivers
summary.pairwiseCI

Summary function for pairwiseCI
rooting

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

Plotting the output of pairwiseCI
behenic

Measurements of behenic acid in two samples
Prop.test

Wrapper to prop.test(stats)
pairwiseCI

Wrapper function for two-sample confidence intervals
summary.pairwiseTest

Summary function for "pairwiseTest"
repellent

Repellent effect of sulphur in eight concentrations
bean

Yield of beans in a two factorial field trial
Oats

The Oats data set
pairwiseMEP

Wrapper to compute confidence intervals for multiple endpoints
print.summary.pairwiseTest

Print function for "summary.pairwiseTest"
print.summary.pairwiseCI

Print function for "summary.pairwiseCI"
pairwiseCI-package

Wrapper functions for two-sample confidence intervals and tests.
plotCI.pairwiseMEP

Plot confidence intervals calculated by "pairwiseMEP"
pairwiseTest

Wrapper to calculate unadjusted p-values for pairwise comparisons
print.pairwiseTest

Print function for "pairwiseTest"
pairwiseCImethodsCount

Confidence intervals for two sample comparisons of count data
pairwiseCImethodsProp

Confidence intervals for two sample comparisons of binomial proportions
pairwiseCImethodsCont

Confidence intervals for two sample comparisons of continuous data
print.pairwiseCI

Print function for "pairwiseCI"
profileDG

Construct a (quasi-) likelihood-profile