Dimension Reduction - Save Variable(s) - Components/Dimensions
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Generate a new set of variables in your data set which contains the transformed variables from dimension reduction methods such as Principal Components Analysis , Principal Components Analysis (Text) , Multiple Correspondence Analysis or t-SNE . The new variables can then be used as inputs into other analyses. You must select the R output which contains your analysis before running this script.
Example
A table of the transformed variables from t-SNE.
Code
includeWeb('QScript R Output Functions');
saveVariables('Scores', 'Principal Components Analysis, Principal Components Analysis (Text), Multidimensional Scaling, t-SNE, or Multiple Correspondence Analysis', 'fitted(', ')', null, null, null, ['flipFactorAnalysis', 'mcaObj', '2Dreduction']);
See Also
- Dimension Reduction - Diagnostic - Component Plot
- Dimension Reduction - Diagnostic - Scree Plot
- Dimension Reduction - Principal Components Analysis
- Dimension Reduction - Multiple Correspondence Analysis
- Dimension Reduction - t-SNE
- Text Analysis - Advanced - Principal Components Analysis (Text)