do_pca: Performs a Principal Component Analysis
In guillaumelf/BarchenPackage: This is a package to help Barchen analyze its students and make decisions
Description
Usage
Arguments
Value
Examples
Description
This function will perform a PCA on your data.
Usage
1
do_pca(tab, inertie_percentage = 95)
Arguments
tab
A data.table object containing the data you want to analyse.
inertie_percentage
A numeric between 0 and 100 indicating the percentage of variance you want to keep. Default value is 95.
Value
A list with the PCA results.
Examples
1
2
3
## You want to keep only 85% of variance :
res_pca <- do_pca(tab,inertie_percentage = 85)
guillaumelf/BarchenPackage documentation built on May 31, 2019, 11:50 p.m.
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Description Usage Arguments Value Examples
Description
This function will perform a PCA on your data.
Usage
1 | do_pca(tab, inertie_percentage = 95)
|
Arguments
tab |
A data.table object containing the data you want to analyse. |
inertie_percentage |
A numeric between 0 and 100 indicating the percentage of variance you want to keep. Default value is 95. |
Value
A list with the PCA results.
Examples
1 2 3 | ## You want to keep only 85% of variance :
res_pca <- do_pca(tab,inertie_percentage = 85)
|
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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