The caret Package - NexTag Supports Open Source Initiatives

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10 cox2 Author(s) Max Kuhn See Also sensitivity, specificity, posPredValue, negPredValue, print.confusionMatrix, binom.test Examples numLlvs
createDataPartition 11 createDataPartition Data Splitting functions Description A series of test/training partitions are created using createDataPartition while createResample creates one or more bootstrap samples. createFolds splits the data into k groups. Usage createDataPartition(y, times = 1, p = 0.5, list = TRUE, groups = min(5, length(y))) createResample(y, times = 10, list = TRUE) createFolds(y, k = 10, list = TRUE, returnTrain = FALSE) Arguments y times p list groups k returnTrain a vector of outcomes the number of partitions to create the percentage of data that goes to training logical - should the results be in a list (TRUE) or a matrix with the number of rows equal to floor(p * length(y)) and times columns. for numeric y, the number of breaks in the quantiles (see below) an integer for the number of folds. a logical. When true, the values returned are the sample positions corresponding to the data used during training. This argument only works in conjunction with list = TRUE Details Value For bootstrap samples, simple random sampling is used. For other data splitting, the random sampling is done within the levels of y when y is a factor in an attempt to balance the class distributions within the splits. For numeric y, the sample is split into groups sections based on quantiles and sampling is done within these subgroups. Also, for very small class sizes (
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: confusionMatrix 9 Author(s) Max Kuh
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 and 46: esampleHist 45 Arguments x Details
Page 47 and 48: oc 47 Arguments obs resampled index
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
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The caret Package - NexTag Supports Open Source Initiatives

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