panic

Scores for the clinical global impression (CGI) measured on an ordinal scale 
(ranging from 2 to 8) during eight weeks for 16 patients with panic disorder 
attacks in a psychiatric clinical trial.

datasets

With this package, it is possible to compute nonparametric simultaneous confidence intervals for relative contrast effects in the unbalanced one way layout. Moreover, it computes simultaneous p-values. The simultaneous confidence intervals can be computed using multivariate normal distribution, multivariate t-distribution with a Satterthwaite Approximation of the degree of freedom or using multivariate range preserving transformations with Logit or Probit as transformation function. 2 sample comparisons can be performed with the same methods described above. There is no assumption on the underlying distribution function, only that the data have to be at least ordinal numbers. See Konietschke et al. (2015) <doi:10.18637/jss.v064.i09> for details.

Kerstin Rubarth

nparcomp

Multiple Comparisons and Simultaneous Confidence Intervals

panic function

A data frame with 80 observations on the following 2 variables.<dl class="dl-horizontal">
 <dt><code>CGI</code></dt><dd>A numeric vector containing the CGI score.</dd>
 <dt><code>week</code></dt><dd>A numeric vector indicating the week (0,2,4,6,8) of measurement.</dd>
 </dl>

Format

Clinical Global Impression (CGI) Scores — panic

A data frame with 80 observations on the following 2 variables.<dl class='dl-horizontal'>
 <dt><code>CGI</code></dt><dd>A numeric vector containing the CGI score.</dd>
 <dt><code>week</code></dt><dd>A numeric vector indicating the week (0,2,4,6,8) of measurement.</dd>
 </dl>

panic: Clinical Global Impression (CGI) Scores

Description

Usage

Arguments

Format

Details

Examples