rciplot: Plot Jacobson-Truax Reliable Change Indices

The concept of reliable and clinically significant change (Jacobson & Truax, 1991) helps you answer the following questions for a sample with two measurements at different points in time (pre & post): Which proportion of my sample has a (considering the reliability of the instrument) probably not-just-by-chance difference in pre- vs. post-scores? Which proportion of my sample does not only change in a statistically significant way (see question one), but also in a clinically significant way (e.g. change from a test score regarded "dysfunctional" to a score regarded "functional")? This package allows you to very easily create a scatterplot of your sample in which the x-axis maps to the pre-scores, the y-axis maps to the post-scores and several graphical elements (lines, colors) allow you to gain a quick overview about reliable changes in these scores. An example of this kind of plot is Figure 2 of Jacobson & Truax (1991). Referenced article: Jacobson, N. S., & Truax, P. (1991) <doi:10.1037/0022-006X.59.1.12>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: dplyr, ggplot2, stats, tibble
Published: 2022-11-18
Author: Maximilian Hagspiel [aut, cre, cph]
Maintainer: Maximilian Hagspiel <maxhag at mailbox.org>
License: MIT + file LICENSE
URL: https://gitlab.com/REDS1736/rciplot
NeedsCompilation: no
CRAN checks: rciplot results


Reference manual: rciplot.pdf


Package source: rciplot_0.1.0.tar.gz
Windows binaries: r-devel: rciplot_0.1.0.zip, r-release: rciplot_0.1.0.zip, r-oldrel: rciplot_0.1.0.zip
macOS binaries: r-release (arm64): rciplot_0.1.0.tgz, r-oldrel (arm64): rciplot_0.1.0.tgz, r-release (x86_64): rciplot_0.1.0.tgz, r-oldrel (x86_64): rciplot_0.1.0.tgz


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