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rciplot  

Plot Jacobson-Truax Reliable Change Indices
View on CRAN: Click here


Download and install rciplot package within the R console
Install from CRAN:
install.packages("rciplot")

Install from Github:
library("remotes")
install_github("cran/rciplot")

Install by package version:
library("remotes")
install_version("rciplot", "0.1.1")



Attach the package and use:
library("rciplot")
Maintained by
Maximilian Hagspiel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-18
Latest Update: 2023-03-15
Description:
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>.
How to cite:
Maximilian Hagspiel (2022). rciplot: Plot Jacobson-Truax Reliable Change Indices. R package version 0.1.1, https://cran.r-project.org/web/packages/rciplot
Previous versions and publish date:
0.1.0 (2022-11-18 18:10)
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Functions, R codes and Examples using the rciplot R package
Some associated functions: rciplot . sample_data . 
Some associated R codes: rciplot.R .  Full rciplot package functions and examples
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