README.md
In AWKruijt/JTRCI: obtain and plot Jacobson and Truax reliable change indices
JTRCI: Jacobson & Truax reliable change indices
A newer version of this package is available at github.com/AWKruijt/JT-RCI (notice the added hyphen).
I strongly advise switching to JT-RCI for any new projects. This current version is kept online because I know that manuscripts using it in their (shared) syntax are currently under review. In time the old JTRCI version will be removed from github.
In this old version (@ awkruijt/JTRCI) the higherisbetter option does not work correctly when type = "JT" (does work for type = "RCI") - the new version (awkruijt/JT-RCI) fixes this and is generally more streamlined.
When switching, it is good to know that in the new version the following parameter names have changed:
JT.crit -> JTcrit
type -> indextype
norm.M -> normM
norm.SD -> normSD
Obtain and plot Jacobson and Truax reliable change indices
JTRCI(x.pre = NA, x.post = NA, reliability = NA, ppid = NA, type = "JT", plot = T, table = F, higherIsBetter = F, JT.crit = "auto", norm.M = NA, norm.SD = NA
screenshots:
AWKruijt/JTRCI documentation built on May 7, 2019, 3:57 a.m.
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JTRCI: Jacobson & Truax reliable change indices
A newer version of this package is available at github.com/AWKruijt/JT-RCI (notice the added hyphen).
I strongly advise switching to JT-RCI for any new projects. This current version is kept online because I know that manuscripts using it in their (shared) syntax are currently under review. In time the old JTRCI version will be removed from github.
In this old version (@ awkruijt/JTRCI) the higherisbetter option does not work correctly when type = "JT" (does work for type = "RCI") - the new version (awkruijt/JT-RCI) fixes this and is generally more streamlined.
When switching, it is good to know that in the new version the following parameter names have changed:
JT.crit -> JTcrit type -> indextype norm.M -> normM norm.SD -> normSD
Obtain and plot Jacobson and Truax reliable change indices
JTRCI(x.pre = NA, x.post = NA, reliability = NA, ppid = NA, type = "JT", plot = T, table = F, higherIsBetter = F, JT.crit = "auto", norm.M = NA, norm.SD = NA
screenshots:
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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