Differences

This shows you the differences between two versions of the page.

--- sift:principal_component_analysis:mahalanobis_distance_and_spe_dialog [2024/11/15 20:04] – wikisysop
+++ sift:principal_component_analysis:mahalanobis_distance_and_spe_dialog [2025/08/29 13:52] (current) – sgranger
@@ Line 14: / Line 14: @@
 ==== Dialog ====
-{{:MD_dlg.png}}
+{{ :MD_dlg.png}}
   * **Grouping to Search:** What kind of grouping is used to determine the centroid, Combined Groups, Groups, Workspaces
-  * **Auto-exclude results:** If checked and outliers found will automatically be removed
+  * **Auto-exclude results:** If checked any outliers found will automatically be removed
   * **Number of Passes:** How many times should the test be run, removing an outlier may alter the centroid, exposing more outliers
   * **Find All Outliers:** If checked, the Number of Passes parameter will be ignored, and the test will be run until no outliers are found
@@ Line 27: / Line 27: @@
 ==== SPE ====
-Since Squared Prediction Error compares a single predictive point to its original value, many of the parameters in the dialog do not apply, the only parameters of note for SPE are:
+Since Squared Prediction Error compares a single predictive point to its original value, some of the parameters in the dialog do not apply. These are:
-  * **Auto-exclude results:** If checked and outliers found will automatically be removed
+  * **Grouping to Search:** SPE is not grouped
-  * **Number of PCs:** How many principal components should be considered for the test
+  * **Number of Passes/Find All Outliers:** Removing another outlier does not effect if a SPE is an outlier or not.
-  * **Outlier alpha value:** The threshold used to determine an outlier
 ==== Results ====
 The Mahalanobis Distance and SPE results appear upon completion of the test.
+==== Note ====
+A label noting the currently selected PCA can be found at the top of the dialog, if the PCA had any missing input data a warning will be displayed with the label as if too many data points were missing from the PCA input it may effect the results of subsequent tests.
+{{:pca_label.png}} \\
+{{:pca_label_warning.png}}