![[R logo]](logo.jpg){kind=logo}
| AllDA | Run battery of classification algorithms |
| Alon | Colon cancer data set of Alon et al. 1999 |
| BRAC1 | Breast cancer, BRCA1 mutation, Hendenfalk et al. 2004 |
| BRAC2 | Breast cancer, BRCA2 mutation, Hendenfalk et al. 2004 |
| cv.rda | Utility function, FitRDA |
| ErrorPredClass | Utility function, FitNNReg |
| FitCART | Classification using CART |
| FitDLDA | Diagonal Linear DA |
| FitDQDA | Diagonal Quadratic DA |
| FitFFNN | Feed Forward Neural Net for Classification |
| FitkNN | NN classification |
| FitLDA | LDA |
| FitLogistic | Logistic regression classification |
| FitNNReg | Classification using NN covariates |
| FitPCReg | Principal component regression |
| FitQDA | QDA |
| FitRDA | Regularized Discriminant Analysis |
| FitSVM | Support Vector Machine Classification |
| Gaussian | Gaussian data with two classes |
| GeneSelect | Select supergenes |
| GeneSelectPValue | Select supergenes using p-value |
| Golub | Acute leukemia data set, Golub et al. 1999 |
| Iizuka | Iizuka carcinoma data set |
| KNN.covariate.test | KNN autocovariates, test data |
| KNN.covariate.train | KNN autocovariates, training data |
| kNNSelect | Use leave-one-out CV to select k |
| Mixture | HTF Mixture Classifcation Example |
| mrate | mis-classification rate |
| NN.CV | Cross validation error rate |
| NN.K | Test class, utility function |
| Nutt | High-grade glioma dataset, Nutt et al., 2003 |
| OptimalK | Optimal K |
| OrderVar.glm | NN using BIC |
| Singh | Prostate cancer data set, Singh et al. 2002 |
| Spira | Smoker dataset, Spira et al. 2004 |
| Sporadic | Breast cancer, Sporadic mutation, Hendenfalk et al. 2004 |
| Standardize | Standarize matrix, row or column |
| TTestTable | Table of p-values using t-test |
| Veer | Breast cancer data set, Van't Veer et al., 2002 |