holzinger: Description of holzinger data
In faoutlier: Influential Case Detection Methods for Factor Analysis and Structural Equation Models
Description
Author(s)
References
Description
A sample of 100 simulated cases from the infamous Holzinger dataset
using 9 variables.
Author(s)
Phil Chalmers rphilip.chalmers@gmail.com
References
Chalmers, R. P. & Flora, D. B. (2015). faoutlier: An R Package for Detecting
Influential Cases in Exploratory and Confirmatory Factor Analysis.
Applied Psychological Measurement, 39, 573-574. doi: 10.1177/0146621615597894
Flora, D. B., LaBrish, C. & Chalmers, R. P. (2012). Old and new ideas for data
screening and assumption testing for exploratory and confirmatory factor analysis.
Frontiers in Psychology, 3, 1-21. doi: 10.3389/fpsyg.2012.00055
faoutlier documentation built on Jan. 13, 2021, 7:04 p.m.
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Description Author(s) References
Description
A sample of 100 simulated cases from the infamous Holzinger dataset using 9 variables.
Author(s)
Phil Chalmers rphilip.chalmers@gmail.com
References
Chalmers, R. P. & Flora, D. B. (2015). faoutlier: An R Package for Detecting Influential Cases in Exploratory and Confirmatory Factor Analysis. Applied Psychological Measurement, 39, 573-574. doi: 10.1177/0146621615597894
Flora, D. B., LaBrish, C. & Chalmers, R. P. (2012). Old and new ideas for data screening and assumption testing for exploratory and confirmatory factor analysis. Frontiers in Psychology, 3, 1-21. doi: 10.3389/fpsyg.2012.00055
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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