PAF: Principal Axis Factoring for election machine answers
In tjpajala/vaalikone: Scripts for analysing Finnish Election Machine datasets
Description
Usage
Arguments
Value
Description
Takes the answers in the election machine, and completes
Principal Axis Factoring (PAF) for them. Returns factor
scores, correlations, the determinant, KMO score and
factor loadings.
Usage
1
Arguments
data
The data set to be used.
nfactors
How many factors to use in the analysis.
vss
Should a VSS analysis be run to analyze the amount of factors?
cols
List of column names that include the data to be analysed.
Value
A list that includes the factor original data augmented with scores, correlations, determinant of the
correlation matrix, KMO score, and factor loadings. See fa for more
information.
tjpajala/vaalikone documentation built on May 26, 2019, 9:34 a.m.
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Description Usage Arguments Value
Description
Takes the answers in the election machine, and completes Principal Axis Factoring (PAF) for them. Returns factor scores, correlations, the determinant, KMO score and factor loadings.
Usage
1 |
Arguments
data |
The data set to be used. |
nfactors |
How many factors to use in the analysis. |
vss |
Should a VSS analysis be run to analyze the amount of factors? |
cols |
List of column names that include the data to be analysed. |
Value
A list that includes the factor original data augmented with scores, correlations, determinant of the
correlation matrix, KMO score, and factor loadings. See fa for more
information.
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.
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