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 |