README.md

In jeromyanglim/personalityfacets: Package for estimating population r-square change

personalityfacets is an R package which provides various functions for examining the relationship between personality facets, factors, and criteria.

Installation:

As an R package, naturally you need to have installed R.

If they are not already installed, install the package dependencies:

install.packages('boot')
install.packages('bootstrap')
install.packages('hypergeo')
install.packages('devtools')

Then install the personalityfacets package:

library(devtools)
install_github('jeromyanglim/personalityfacets')

Once installed run the following command to load the package:

library(personalityfacets)

Getting Started

Enter the following command to see an introduction to the main functions:

?personalityfacets

Author

Jeromy Anglim

Licence

License: GPL-2

References

Further information about the software is available here.

Anglim, J., & Grant, S. (2014) Incremental Criterion Prediction of Personality Facets over Factors: Obtaining Unbiased Estimates and Confidence Intervals. Journal of Research in Personality 53, 148-157. http://dx.doi.org/10.1016/j.jrp.2014.10.005

You can also see the data and code for this paper: https://github.com/jeromyanglim/anglim-grant-incremental-rsquared-2014

If you use this package as part of a publication, please cite the above reference.

Applications

• Anglim, J., & Grant, S. (2014). Predicting Psychological and Subjective Well-Being from Personality: Incremental Prediction from 30 Facets Over the Big 5. Journal of Happiness Studies. http://dx.doi.org/10.1007/s10902-014-9583-7 Data and code
• Horwood, S., Anglim, J., & Tooley, G. (2015). Type D Personality and the Five-Factor Model: A Facet-Level Analysis. Personality and Individual Differences, 83, 50-54. http://dx.doi.org/10.1016/j.paid.2015.03.041

jeromyanglim/personalityfacets documentation built on Dec. 23, 2019, 7:31 p.m.