as.data.frame.pairwiseMEP

an object of class &#8220;pairwiseMEP&#8221; as can be obtained by calling <code><a rd-options="" href="/link/pairwiseMEP?package=pairwiseCI&version=0.1-27" data-mini-rdoc="pairwiseCI::pairwiseMEP">pairwiseMEP</a></code>

row.names

optional

a vector of integers or character strings, indexing which endpoints (which response variables)
from object <code>x</code> shall be coerced to a data.frame; if omitted (default), all endpoints are coerced to a data.frame

whichep

Further arguments to be passed to <code>as.data.frame</code>

&#8230;

Coerces the output of the function pairwiseMEP to a data.frame.

 misc 

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.

Frank Schaarschmidt

pairwiseCI

Confidence Intervals for Two Sample Comparisons

Daniel Gerhard

as.data.frame.pairwiseMEP function

an object of class &#8220;pairwiseMEP&#8221; as can be obtained by calling <code><a rd-options='' href='pairwiseMEP'>pairwiseMEP</a></code>

as.data.frame.pairwiseMEP: Coerce pairwiseMEP objects to data.frames

Description

Usage

Arguments

Value