Learn R Programming

⚠️There's a newer version (0.1-27) of this package.Take me there.

pairwiseCI (version 0.1-19)

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!

Copy Link

Version

Install

install.packages('pairwiseCI')

Monthly Downloads

280

Version

0.1-19

License

GPL

Maintainer

Frank Schaarschmidt

Last Published

December 3rd, 2009

Functions in pairwiseCI (0.1-19)

Dieldrin in fish from two different rivers

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

pairwiseCI-package

Wrapper functions for two-sample confidence intervals and tests.

Wrapper function for two-sample confidence intervals

pairwiseCImethodsProp

Confidence intervals for two sample comparisons of binomial proportions

Wrapper to calculate unadjusted p-values for pairwise comparisons

print.pairwiseTest

Print function for "pairwiseTest"

as.data.frame.pairwiseCI

Coercing pairwiseCI objects to data.frames

Repellent effect of sulphur in eight concentrations

summary.pairwiseCI

Summary function for pairwiseCI

plotCI.pairwiseMEP

Plot confidence intervals calculated by "pairwiseMEP"

The Oats data set

Wrapper to compute confidence intervals for multiple endpoints

pairwiseTestInt

Internal functions for pairwiseTest

Wrapper to prop.test(stats)

Yield of beans in a two factorial field trial

print.pairwiseCI

Print function for "pairwiseCI"

print.summary.pairwiseTest

Print function for "summary.pairwiseTest"

Measurements of behenic acid in two samples

pairwiseCImethodsCount

Confidence intervals for two sample comparisons of count data

as.data.frame.pairwiseMEP

Coerce pairwiseMEP objects to data.frames

pairwiseCImethodsCont

Confidence intervals for two sample comparisons of continuous data

summary.pairwiseTest

Summary function for "pairwiseTest"

Yield of cabbage in one-factorial field trial

print.summary.pairwiseCI

Print function for "summary.pairwiseCI"

Sodium contents in transgenic and isogenic corn

Construct a (quasi-) likelihood-profile

plot.pairwiseCI

Plotting the output of pairwiseCI

Internal functions for pairwiseCI