A B C D E F G H K L M N O P Q R S T U V W X Y Z
| regtools-package | Overview and Package Reference Guide | 
| allNumeric | Miscellaneous Utilities | 
| avalogpred | Classification with More Than 2 Classes | 
| avalogtrn | Classification with More Than 2 Classes | 
| bestKperPoint | k-NN Nonparametric Regression and Classification | 
| boundaryplot | Classification with More Than 2 Classes | 
| catDFRow | Miscellaneous Utilities | 
| charsToFactors | Factor Conversion Utilities | 
| classadjust | Classification with More Than 2 Classes | 
| coef.lmac | Available Cases Method for Missing Data | 
| confusion | Classification with More Than 2 Classes | 
| constCols | Miscellaneous Utilities | 
| courseRecords | Records from several offerings of a certain course. | 
| currency | Pre-Euro Era Currency Fluctuations | 
| day | Bike sharing data. | 
| day1 | Bike sharing data. | 
| day2 | Bike sharing data. | 
| diagNeural | Tools for Neural Networks | 
| discretize | Factor Conversion Utilities | 
| doPCA | Utilities | 
| dummiesToFactor | Factor Conversion Utilities | 
| dummiesToInt | Factor Conversion Utilities | 
| english | English vocabulary data | 
| exploreExpVars | k-NN Nonparametric Regression and Classification | 
| factorsToDummies | Factor Conversion Utilities | 
| factorTo012ec | Classification with More Than 2 Classes | 
| factorTo012etc | Factor Conversion Utilities | 
| factorToDummies | Factor Conversion Utilities | 
| falldetection | Fall Detection Data | 
| findOverallLoss | Utilities | 
| fineTuning | Grid Search Plus More | 
| fineTuningPar | Grid Search Plus More | 
| getDFclasses | Factor Conversion Utilities | 
| getNamedArgs | Utilities | 
| hasCharacters | Factor Conversion Utilities | 
| hasFactors | Factor Conversion Utilities | 
| kmin | k-NN Nonparametric Regression and Classification | 
| kNN | k-NN Nonparametric Regression and Classification | 
| kNNallK | k-NN Nonparametric Regression and Classification | 
| knnest | k-NN Nonparametric Regression and Classification | 
| knnFineTune | Grid Search Plus More | 
| knntrn | k-NN Nonparametric Regression and Classification | 
| kNNxv | k-NN Nonparametric Regression and Classification | 
| krsFit | Tools for Neural Networks | 
| krsFitImg | Tools for Neural Networks | 
| l1 | k-NN Nonparametric Regression and Classification | 
| l2 | k-NN Nonparametric Regression and Classification | 
| lmac | Available Cases Method for Missing Data | 
| loclin | k-NN Nonparametric Regression and Classification | 
| loclogit | k-NN Nonparametric Regression and Classification | 
| loglinac | Available Cases Method for Missing Data | 
| ltrfreqs | Letter Frequencies | 
| makeNA | Available Cases Method for Missing Data | 
| MAPE | k-NN Nonparametric Regression and Classification | 
| meany | k-NN Nonparametric Regression and Classification | 
| mediany | k-NN Nonparametric Regression and Classification | 
| mlb | Major Leage Baseball player data set. | 
| mlens | MovieLens User Summary Data | 
| mm | Method of Moments, Including Possible Regression Terms | 
| mmscale | Miscellaneous Utilities | 
| multCols | Utilities | 
| NAsTo0s | Available Cases Method for Missing Data | 
| newAdult | UCI adult income data set, adapted | 
| newadult | UCI adult income data set, adapted | 
| nlshc | Heteroscedastic Nonlinear Regression | 
| nonparvarplot | k-NN Nonparametric Regression and Classification | 
| nonparvsxplot | k-NN Nonparametric Regression and Classification | 
| oliveoils | Italian olive oils data set. | 
| ovaknntrn | Classification with More Than 2 Classes | 
| ovalogpred | Classification with More Than 2 Classes | 
| ovalogtrn | Classification with More Than 2 Classes | 
| partTrnTst | Utilities | 
| parvsnonparplot | k-NN Nonparametric Regression and Classification | 
| pcac | Available Cases Method for Missing Data | 
| PCAwithFactors | Utilities | 
| peDumms | Silicon Valley programmers and engineers data | 
| pef | Silicon Valley programmers and engineers data | 
| peFactors | Silicon Valley programmers and engineers data | 
| penroseLM | Penrose-Inverse Linear Models and Polynomial Regression | 
| penrosePoly | Penrose-Inverse Linear Models and Polynomial Regression | 
| phoneme | Phoneme Data | 
| plot.rlm | Ridge Regression | 
| plot.tuner | Grid Search Plus More | 
| plotExpVars | k-NN Nonparametric Regression and Classification | 
| predict.knn | k-NN Nonparametric Regression and Classification | 
| predict.krsFit | Tools for Neural Networks | 
| predict.ovaknn | Classification with More Than 2 Classes | 
| predict.penroseLM | Penrose-Inverse Linear Models and Polynomial Regression | 
| predict.penrosePoly | Penrose-Inverse Linear Models and Polynomial Regression | 
| preprocessx | k-NN Nonparametric Regression and Classification | 
| prgeng | Silicon Valley programmers and engineers data | 
| probIncorrectClass | Utilities | 
| propMisclass | Utilities | 
| prToFile | Utilities | 
| pythonBlankSplit | Utilities | 
| quizDocs | Course quiz documents | 
| quizzes | Course quiz documents | 
| regtools | Overview and Package Reference Guide | 
| replicMeans | Utilities | 
| ridgelm | Ridge Regression | 
| ridgePoly | Penrose-Inverse Linear Models and Polynomial Regression | 
| stdErrPred | Utilities | 
| stopBrowser | Utilities | 
| sw | Swiss Roll | 
| SwissRoll | Swiss Roll | 
| tbltofakedf | Available Cases Method for Missing Data | 
| textToXY | Tools for Text Classification | 
| textToXYpred | Tools for Text Classification | 
| toAllNumeric | Factor Conversion Utilities | 
| toSubFactor | Factor Conversion Utilities | 
| toSuperFactor | Factor Conversion Utilities | 
| TStoX | Transform Time Series to Rectangular Form | 
| TStoXmv | Transform Time Series to Rectangular Form | 
| ulist | Utilities | 
| unscale | Miscellaneous Utilities | 
| vary | k-NN Nonparametric Regression and Classification | 
| vcov.lmac | Available Cases Method for Missing Data | 
| weatherTS | Weather Time Series | 
| xyDataframeToMatrix | Factor Conversion Utilities | 
| xyzPlot | Misc. Graphics | 
| yell10k | New York Taxi Data | 
| ZerosToNAs | Available Cases Method for Missing Data |