This article describes how to go from a Principal Component Analysis, Correspondence Analysis, t-SNE or another dimension reduction output:
To a saved component/dimension variable set:
- A dimension reduction output created in Displayr such as Principal Component Analysis, Correspondence Analysis, Multidimensional Scaling or t-SNE.
1. Select your dimension reduction output.
2. From the toolbar menu, select Anything > Advanced Analysis > Dimension Reduction > Save Variable(s) > Components/Dimensions.
A new variable set call 'Scores from dim.reduce' will be added to the top of your Data Sets tree where dim.reduce is the name of the dimension reduction output.
For Principal Component Analysis (PCA), the correlation between these underlying variables and the individual variables used in the analysis are shown in the Rotated Component Matrix. This is typically, but not always, true. It can not be the case if there is missing data or if a non-standard method is used to compute create the saved variables.