Package: rciplot 0.1.1

Maximilian Hagspiel

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>.

Authors:Maximilian Hagspiel [aut, cre, cph]

rciplot_0.1.1.tar.gz
rciplot_0.1.1.tar.gz(r-4.7-any)rciplot_0.1.1.tar.gz(r-4.6-any)
rciplot_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
rciplot/json (API)

# Install 'rciplot' in R:
install.packages('rciplot', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://gitlab.com/reds1736/rciplot

Datasets:

On CRAN:

Conda:

1.00 score 1 scripts 253 downloads 1 exports 25 dependencies

Last updated from:10f154ad9c. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK114
source / vignettesOK148
linux-release-x86_64OK119
wasm-releaseOK108

Exports:rciplot

Dependencies:clicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigR6RColorBrewerrlangS7scalestibbletidyselectutf8vctrsviridisLitewithr