Statistics 501 Home Page

visualization.R | R code to visualize different aspects of multivariate data |

radviz2d.R | R code to provide radial visualization plots (uses mmnorm.R, circledraw.R) |

parallelplot.R | R code to provide parallel coordinate plots (uses combinations.R) |

starcoord.R | R code to provide starplots |

surveyplot.R | R code to provide starplots |

BoxMTest.R | R code to test for homogeneity of covariance matrices |

microwave.R | R code to check normality assumptions on closed door microwave radiation data |

boxcox.R | R code to perform the optimal, yet minimal multivariate Box-Cox transform |

testboxcox.R | R code to find the optimal yet minimal multivariate Box-Cox transforms for each of the three Iris species. |

board.stiffness.R | R code for computing summary statistics and other tests for the board stiffness data |

board.stiffness.sas | SAS code for computing summary statistics and other tests for the board stiffness data |

sweat.R | R code for computing one-sample Hotelling's T^2 test |

sweat.sas | SAS code for computing one-sample Hotelling's T^2 test |

effluent.R | R code for computing one-sample Hotelling's T^2 test for pairwise differences |

effluent.sas | SAS code for computing one-sample Hotelling's T^2 test for pairwise differences |

dogs.R | R code for computing one-sample Hotelling's T^2 test for repeated measures |

dogs.sas | SAS code for computing one-sample Hotelling's T^2 test for repeated measures |

steel.R | R code for computing two-sample Hotelling's T^2 tests |

steel.sas | SAS code for computing two-sample Hotelling's T^2 tests |

testnormality.R | R function for simulation-based approach to evaluating multivariate normality distributional assumption for a sample |

displaycorr.R | R function for easy display of correlations between variables as provided by the lower (off-diagonal) triangle of the correlation matrix |

manova.R | One-way and Two-way multivariate analysis of variance in R |

morel.sas | One-way multivariate analysis of variance in SAS |

peanuts.sas | Two-way multivariate analysis of variance in SAS |

mvregression.R | R code for Multivariate Multiple Linear Regression |

madison.sas | SAS code for the Madison socio-economic variables data |

PCs.proportion.variation.enuff.R | R code to test if a certain number of PCs are adequate to explain total variation in the data |

last.PCs.equal.variances.R | R code to test if a certain number of the last PCs have equal variances |

turtles.R | R code for turtles data |

race100k.R | R code for 100k race data |

stocks.R | R code for factor analysis of the stocks data |

stocks.sas | SAS code for factor analysis of the stocks data |

loans2.R | R code for two-class classification of the farmers' loan payment dataset |

loans.sas | SAS code for two-class classification of the farmers' loan payment dataset |

gmat.R | R code for classification using LDA, QDA, k-nearest neighbors and CART, of the three-class GMAT dataset. |

gmat.sas | SAS code for classification using LDA and QDA of the three-class GMAT dataset. |

ppr.R | R code for Projection Pursuit Regression/Classification example |

diabetes.sas | SAS code for Clustering Stanford Diabetes Dataset |

diabetesb.R | R code for Clustering Stanford Diabetes Dataset |

geyser.R | R code for Model-based Clustering of Geyser Data |