SMS5num |
Five Number Summary for U.S. Cities |
SMSandcurpopu |
Andrew's curves for population data |
SMSanovapull |
ANOVA for pullover sales |
SMSboxbank6 |
Boxplots for the diagonal (Variable 6) of the genuine and forged |
SMSboxcar |
Boxplots for the mileage (Variable 14) of US, Japanese and European |
SMSboxunemp |
Boxplots for unemployment data |
SMScancarm |
Canonical correlation analysis for the car marks data |
SMScancarm1 |
Canonical correlation analysis for the car marks data |
SMScancarm2 |
Canonical correlation analysis for the car marks data |
SMScanfood |
Canonical correlation analysis for french food data |
SMScantime |
Canonical correlation analysis for timebudget data |
SMScanus |
Canonical correlation analysis for the US health and US crime data set |
SMScapmnyse |
Betas from monthly returns of six US firms |
SMScartdiag |
CART on the diagonal data set |
SMScartsq |
CART on an ideal data set |
SMSchi2bac |
Chi-square test of independence |
SMSclus8p |
Cluster analysis for the 8 points |
SMSclus8pd |
Cluster analysis for the 8 points |
SMSclusbank |
Cluster analysis for swiss bank notes |
SMSclusbank2 |
Cluster analysis for swiss bank notes |
SMSclusbank3 |
Cluster analysis for swiss bank notes |
SMScluscomp |
Cluster analysis for US companies |
SMScluscrime |
Cluster analysis for US crime data set |
SMScluscrimechi2 |
Cluster analysis for US crime data set |
SMSclushealth |
Cluster analysis for US health data set |
SMSconjcars |
Test of the significance of the part-worths |
SMSconjexmp |
Part-worths for sample of 3 people |
SMScorrcarm |
Correspondence analysis for the car marks data |
SMScorrcrime |
Correspondence analysis for the US crime data set |
SMScorrfood |
Correspondence analysis for the French food data |
SMScorrhealth |
Correspondence analysis for US health |
SMScovbank |
Covariance matrix of the bank2 data set |
SMSdecobank |
Spectral decomposition of the Swiss bank notes data |
SMSdecofood |
Spectral decomposition of the French food data |
SMSdecotime |
Spectral decomposition of the time budget data |
SMSdenbank |
Kernel density estimates of the diagonal of the genuine and forged |
SMSdete2pull |
Linear regression of pullover sales |
SMSdeterpull |
Linear regression of pullover sales |
SMSdiscbaycar |
Bayes discrimination rule for car data |
SMSdisccar |
ML discrimination rule for car data |
SMSdisfbank |
Fisher discrimination rule for 20 Swiss bank notes |
SMSdisfbank2 |
Fisher discrimination rule for all Swiss bank notes |
SMSdisfwais |
Fisher discrimination analysis of WAIS data set |
SMSdrafcar |
Draftman Plot and Density Contours for carc data |
SMSellipse |
Iso-distance ellipse |
SMSeppbank |
EPP on bank notes data set |
SMSfacenorm |
Flury faces for N(0,1) and N(2,1) distributed data |
SMSfactbank |
Factor analysis of the bank notes data set |
SMSfactfood |
Factor analysis of the French food data set |
SMSfacthletic |
Factor analysis of the athletic records data set |
SMSfactsigma |
Factor analysis of artifical correlation matrix |
SMSfactuscrime |
Factor analysis of the US crime data set |
SMSfactushealth |
Factor analysis of the US health data set |
SMSfactvocab |
Factor analysis of the vocabulary data set |
SMSgtbank |
Grand tour of Swiss bank notes |
SMShiscar |
Histograms for the mileage of US, Japanese and European cars |
SMShisheights |
Histogram of student heights |
SMSjordan |
Jordan decomposition of an symmetric matrix |
SMSlinregbank2 |
Linear regression of the diagonal on the remaining variables for forged |
SMSlinregpull |
Linear regression of sales on price from the pullover data set |
SMSlinregvocab |
Linear regression of vocabulary score in grade 11 |
SMSmdsbank |
Multidimensional scaling (MDS) for the bank notes data |
SMSnmdsathlesub |
2D map of athletic records using nonmetric multidimensional scaling |
SMSnmdsathletic |
2D map of athletic records using nonmetric multidimensional scaling |
SMSnmdscarm |
2D map of 4 cars based on ranks of differences using nonmetric |
SMSnmdsuscrime |
2D map of US crimes using nonmetric multidimensional scaling |
SMSnmdsushealth |
Nonmetric multidimensional scaling for US health |
SMSnpcacrime |
NPCA for the US crime data |
SMSnpcageopol |
NPCA for the geopol data |
SMSnpcasimu |
NPCA for the simulated data set in Exercise 9.13 |
SMSnpcathletic |
NPCA for the athletic records data |
SMSpcacarm |
PCA for the car marks data |
SMSpcahealth |
PCA for the US health data |
SMSpcpcar |
Parallel coordinate plot for carc data set |
SMSportfol |
Optimal portfolio weights using monthly returns of six US firms |
SMSprofil |
Example of population profiles |
SMSprofplasma |
Profile analysis of plasma data set |
SMSscabank45 |
Scatterplot of X4 vs. X5 (upper inner frame vs. lower) of the Swiss |
SMSscanorm3 |
Three dimensional scatterplot of normal distributed data |
SMSscapopu |
Scatterplot for population data |
SMSsimpdbank |
Simplicial depth of the bank notes data |
SMSsimpdsimu |
Simplicial depth of simulated data set |
SMSsir2cars |
Sliced inverse regression algorithm (SIR II) for dimension reduction |
SMSsir2simu |
Sliced inverse regression algorithm (SIR II) for dimension reduction |
SMSsircars |
Sliced inverse regression algorithm (SIR) for dimension reduction for |
SMSsirsimu |
Sliced inverse regression algorithm (SIR) for simulated data set |
SMSsiruscomp |
Sliced inverse regression algorithm (SIR) for dimension reduction of US |
SMSsvmbankrupt |
SVM is used to classify bankrupt companies |
SMSsvmorange |
SVM on the orange peel data set |
SMSsvmspiral |
SVM on the spiral data set |
SMStestcov |
Test of equality of given covariance matrices |
SMStestcovwais |
Test of the equality of variance matrices in wais data set |
SMStestsim |
Test of a linear hypothesis for simulated random sample |
SMStestuscomp |
Test of equality of two mean vectors for the US companies data set |