The caret Package - NexTag Supports Open Source Initiatives

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46 resampleSummary Arguments object an object resulting form a call to train type a character string. Either "hist" or "density" ... options to pass to histogram or densityplot Details All the metrics from the object are plotted. Value a object of class trellis Author(s) Max Kuhn See Also train, histogram, densityplot Examples data(iris) TrainData
oc 47 Arguments obs resampled index keepData A vector (numeric or factor) of the outcome data For bootstrapping, this is either a matrix (for numeric outcomes) or a data frame (for factors). For cross-validation, a vector is produced. <strong>The</strong> list to index of samples in each cross–validation fold (only used for crossvalidation). A logical for returning the observed and predicted data. Details <strong>The</strong> mean and standard deviation of the values produced by postResample are calculated. Value A list with: metrics data A vector of values describing the bootstrap distribution. A data frame or NULL. Columns include obs, pred and group (for tracking cross-validation folds or bootstrap samples) Author(s) Max Kuhn See Also postResample Examples resampleSummary(rnorm(10), matrix(rnorm(50), ncol = 5)) roc Compute the points for an ROC curve Description Computes sensitivity and specificity for a variety of cutoffs Usage roc(data, class, dataGrid = TRUE, gridLength = 100, positive = levels(class)[1])
Page 1 and 2: The caret Package March 28, 2008 Ve
Page 3 and 4: applyProcessing 3 Usage Value data(
Page 5 and 6: agEarth 5 Examples set.seed(6) test
Page 7 and 8: agFDA 7 Usage bagFDA(x, ...) ## S3
Page 9 and 10: confusionMatrix 9 Author(s) Max Kuh
Page 11 and 12: createDataPartition 11 createDataPa
Page 13 and 14: dotPlot 13 Value A data frame Autho
Page 15 and 16: extractPrediction 15 Value For extr
Page 17 and 18: filterVarImp 17 filterVarImp Calcul
Page 19 and 20: findLinearCombos 19 Examples corrMa
Page 21 and 22: Alternate Affy Gene Expression Summ
Page 23 and 24: knn3 23 Arguments formula data subs
Page 25 and 26: maxDissim 25 Author(s) Max Kuhn 〈
Page 27 and 28: nearZeroVar 27 nearZeroVar Identifi
Page 29 and 30: normalize2Reference 29 Value A norm
Page 31 and 32: oil 31 oil Fatty acid composition o
Page 33 and 34: plot.train 33 Arguments x Details m
Page 35 and 36: plotClassProbs 35 plotClassProbs Pl
Page 37 and 38: plsda 37 plotObsVsPred(predHomeValu
Page 39 and 40: postResample 39 postResample Calcul
Page 41 and 42: preProcess 41 Arguments x Details V
Page 43 and 44: predict.knn3 43 Examples data(trees
Page 45: esampleHist 45 Arguments x Details
Page 49 and 50: sensitivity 49 Usage NA is returned
Page 51 and 52: summary.bagEarth 51 spatialSign(iri
Page 53 and 54: train 53 plot(absorpSubset[1,], typ
Page 55 and 56: train 55 k nearest neighbors knn3 c
Page 57 and 58: varImp 57 number verboseIter return
Page 59 and 60: varImp 59 Value Boosted Trees: varI
Page 61 and 62: INDEX 61 cox2Class (cox2), 9 cox2De

The caret Package - NexTag Supports Open Source Initiatives

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