Learn R Programming

pairwiseCI (version 0.1-27)

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. 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.

Copy Link

Version

Install

install.packages('pairwiseCI')

Monthly Downloads

386

Version

0.1-27

License

GPL-2

Maintainer

Frank Schaarschmidt

Last Published

March 11th, 2019

Functions in pairwiseCI (0.1-27)

pairwiseCImethodsCount

Confidence intervals for two sample comparisons of count data

pairwiseCImethodsProp

Confidence intervals for two sample comparisons of binomial proportions

Wrapper to prop.test(stats)

print.summary.pairwiseTest

Print function for "summary.pairwiseTest"

Plot confidence intervals

Nonparametric test and confidence interval based on relative effects

Wrapper to calculate unadjusted p-values for pairwise comparisons

Wrapper to compute confidence intervals for multiple endpoints

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

print.pairwiseCI

Print function for "pairwiseCI"

Construct a (quasi-) likelihood-profile

Wrapper function for two-sample confidence intervals

pairwiseCI-package

Wrapper functions for two-sample confidence intervals and tests.

print.summary.pairwiseCI

Print function for "summary.pairwiseCI"

print.pairwiseTest

Print function for "pairwiseTest"

Repellent effect of sulphur in eight concentrations

summary.pairwiseCI

Summary function for pairwiseCI

Sodium contents in transgenic and isogenic corn

pairwiseCImethodsCont

Confidence intervals for two sample comparisons of continuous data

Internal functions for pairwiseCI

plot.pairwiseCI

Plotting the output of pairwiseCI

pairwiseTestInt

Internal functions for pairwiseTest

summary.pairwiseTest

Summary function for "pairwiseTest"

Yield of cabbage in one-factorial field trial

as.data.frame.pairwiseCI

Coercing pairwiseCI objects to data.frames

overdispersed.binomial.ratio

Confidence intervals for risk ratios of overdispersed binomial data

Measurements of behenic acid in two samples

MOVER-R method by Donner and Zhou (2012)

Confidence intervals for ratios of proportions based on the quasibinomial assumption

as.data.frame.pairwiseMEP

Coerce pairwiseMEP objects to data.frames

The Oats data set