Plotting Analysis Aids and I O Functions and Principal Components Analysis: Difference between pages
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:[[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. | |||
:[[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. | ||
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(Sub topic of [[Categorical_Index|Categorical_Index]]) | (Sub topic of [[Categorical_Index|Categorical_Index]]) |
Revision as of 16:40, 2 September 2008
- 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.
- 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)