personalityfacets: The personalityfacets Package
In jeromyanglim/personalityfacets: Package for estimating population r-square change
Description
Details
Author(s)
References
Description
This package provides various functions for examining the relationship
between personality facets, factors, and criteria.
Details
The Package performs double adjusted r-squared bootstrapping on population r-squared change.
The two main functions are bootstrap_r_squared_change
and facets_semi_partial_r_table.
bootstrap_r_squared_change can be used to obtain bootstrap confidence intervals on the
population r-squared change. There are also various support functions. regression
is a convenient way of calling a regression with many predictors. adjusted_r_squared
and lm_adjusted_r_squared provides several options for obtaining adjusted r-squared.
facets_semi_partial_r_table decomposes the relationship between a set of facets and a criterion.
It does this by presenting a range of semi-partial correlations.
Additional functionality to explore facets and factors may be added in the future.
Author(s)
Jeromy Anglim
References
Anglim, J., Grant, S. (under review) Estimating Incremental Criterion
Prediction of Personality Facets over Factors.
jeromyanglim/personalityfacets documentation built on Dec. 23, 2019, 7:31 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Details Author(s) References
Description
This package provides various functions for examining the relationship between personality facets, factors, and criteria.
Details
The Package performs double adjusted r-squared bootstrapping on population r-squared change. The two main functions are bootstrap_r_squared_change and facets_semi_partial_r_table.
bootstrap_r_squared_change can be used to obtain bootstrap confidence intervals on the population r-squared change. There are also various support functions. regression is a convenient way of calling a regression with many predictors. adjusted_r_squared and lm_adjusted_r_squared provides several options for obtaining adjusted r-squared.
facets_semi_partial_r_table decomposes the relationship between a set of facets and a criterion. It does this by presenting a range of semi-partial correlations.
Additional functionality to explore facets and factors may be added in the future.
Author(s)
Jeromy Anglim
References
Anglim, J., Grant, S. (under review) Estimating Incremental Criterion Prediction of Personality Facets over Factors.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.