====== Principal Component Analysis ======

{{:I3DCleanData2.png}}

Inspect3D provides a number of ways to visualize and interact with the results of PCA. An overview of all PCA visualizes can be found in [[Other:Inspect3D:Documentation:Pages:PCA_Graphs|Inspect3D PCA Graphs]].

This page includes:

  * Visualizing the [[Other:Inspect3D:Documentation:Pages:PCA_Graphs#Variance_Explained|variance explained by each PC individually]];
  * Visualizing the [[Other:Inspect3D:Documentation:Pages:PCA_Graphs#Loading_Vector|variance explained by each PC at each point in the signal's cycle]];
  * [[Other:Inspect3D:Documentation:Pages:PCA_Graphs#Subject_Scores|Scatter-plotting workspace scores]] in PC-space;
  * Showing the [[Other:Inspect3D:Documentation:Pages:PCA_Graphs#Group_Scores|distribution of scores by group]] for each PC;
  * Visualizing the [[Other:Inspect3D:Documentation:Pages:PCA_Graphs#Extreme_Plot|mean and extreme values]] that result from reconstructing the underlying data with each PC; and
  * Visualizing how the signals can be [[Other:Inspect3D:Documentation:Pages:PCA_Graphs#PC_Reconstruction|reconstructed from the computed PCs]].

==== Tutorials ====

For a step-by-step example of how to use Inspect3D to perform PCA on your data, see the [[Other:Inspect3D:Tutorials:Perform_Principal_Component_Analysis|PCA Tutorial]].

For a step-by-step example of how to use Inspect3D to perform further statistical testing on PCA results, see the [[Other:Inspect3D:Tutorials:Run_K-Means|Tutorial: Run K-Means]].

For a step-by-step example of processing and analyzing large data sets in Inspect3D and using PCA to distinguish between groups, see the [[Other:Inspect3D:Tutorials:Treadmill_Walking_In_Healthy_Individuals|Tutorial: Treadmill Walking In Healthy Individuals]] and the [[Other:Inspect3D:Tutorials:Analysis_of_Baseball_Hitters|Tutorial: Analysis of Baseball Hitters]].