Principal Components Analysis: Difference between revisions
Jump to navigation
Jump to search
imported>Jeremy (Importing text file) |
imported>Jeremy No edit summary |
||
Line 3: | Line 3: | ||
:[[estimatefactors]] - Estimate number of significant factors in multivariate data. | :[[estimatefactors]] - Estimate number of significant factors in multivariate data. | ||
:[[jmlimit]] - Confidence limits for Q residuals via Jackson-Mudholkar. | :[[jmlimit]] - Confidence limits for Q residuals via Jackson-Mudholkar. | ||
:[[knnscoredistance]] - Calculate the average distance to the k-Nearest Neighbors in score space. | |||
:[[manrotate]] - Graphical interface to manually rotate model loadings. | :[[manrotate]] - Graphical interface to manually rotate model loadings. | ||
:[[mlpca]] - Maximum likelihood principal components analysis. | :[[mlpca]] - Maximum likelihood principal components analysis. |
Latest revision as of 10:46, 28 August 2009
- chilimit - Chi-squared confidence limits from sum-of-squares residuals.
- datahat - Calculates the model estimate and residuals of the data.
- estimatefactors - Estimate number of significant factors in multivariate data.
- jmlimit - Confidence limits for Q residuals via Jackson-Mudholkar.
- knnscoredistance - Calculate the average distance to the k-Nearest Neighbors in score space.
- manrotate - Graphical interface to manually rotate model loadings.
- mlpca - Maximum likelihood principal components analysis.
- pca - Principal components analysis.
- pcaengine - Principal Components Analysis computational engine.
- pcapro - Projects new data on old principal components model.
- plotloads - Extract and display loadings information from a model structure.
- plotscores - Extract and display score information from a model.
- residuallimit - Estimates confidence limits for sum squared residuals.
- ssqtable - Displays variance captured table for model.
- subgroupcl - Displays a confidence ellipse for points in a two-dimensional plot.
- tsqlim - Confidence limits for Hotelling's T^2.
- tsqmtx - Calculates matrix for T^2 contributions for PCA.
- varcap - Variance captured for each variable in PCA model.
- varimax - Orthogonal rotation of loadings.
(Sub topic of Categorical_Index)