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appRiori
View on CRAN: Click
here
Download and install appRiori package within the R console
Install from CRAN:
install.packages("appRiori")
Install from Github:
library("remotes")
install_github("cran/appRiori")
Install by package version:
library("remotes")
install_version("appRiori", "0.0.6")
Attach the package and use:
library("appRiori")
Maintained by
Umberto Granziol
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.appRiori . https://github.com/Ugranziol/appRiori/issues . https://github.com/Ugranziol/appRiori . appRiori citation info . appRiori results . appRiori.pdf . appRiori_0.0.6.tar.gz . appRiori_0.0.6.zip . appRiori_0.0.6.zip . appRiori_0.0.6.zip . appRiori_0.0.6.tgz . appRiori_0.0.6.tgz . appRiori_0.0.6.tgz . appRiori_0.0.6.tgz . appRiori_0.0.6.tgz . appRiori_0.0.6.tgz . appRiori archive . https://CRAN.R-project.org/package=appRiori .
First Published: 2023-02-24
Latest Update: 2024-02-13
Description:
With 'appRiori', users upload the research variables and the app guides them to the best set of comparisons fitting the hypotheses, for both main and interaction effects. Through a graphical explanation and empirical examples on reproducible data, it is shown that it is possible to understand both the logic behind the planned comparisons and the way to interpret them when a model is tested.
How to cite:
Umberto Granziol (2023). appRiori: Code and Obtain Customized Planned Comparisons with 'appRiori'. R package version 0.0.6, https://cran.r-project.org/web/packages/appRiori. Accessed 08 Apr. 2025.
Previous versions and publish date:
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Other R packages that appRiori depends,
imports, suggests or enhances
Complete documentation for appRiori
Functions, R codes and Examples using
the appRiori R package
Some associated functions: appRiori .
Some associated R codes: appRiori.R . mixedDesign.v0.6.3.R . Full appRiori package functions and examples
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