/dports/math/R-cran-ddalpha/ddalpha/ |
H A D | NAMESPACE | 1 export(ddalpha.train, ddalpha.classify, 2 ddalpha.test, ddalpha.getErrorRateCV, ddalpha.getErrorRatePart, 3 ddalphaf.train, ddalphaf.classify, 5 compclassf.train, compclassf.classify, 10 dknn.train, dknn.classify, dknn.classify.trained, 27 S3method(predict, ddalpha) 30 S3method(plot, ddalpha) 35 S3method(print, ddalpha) 37 S3method(summary, ddalpha) 40 S3method(print, ddalpha.alpha) [all …]
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H A D | MD5 | 12 658b2f57eb5e506dce8fc53ef4955fad *R/ddalpha-internal.r 13 e1b5085356ad71b3ca6a28d8cd27868e *R/ddalpha.classify.r 14 da8e0f853b7b11cbc19e81a0075708eb *R/ddalpha.test.r 15 01f52b6b63e78f435d01216c91197e5f *R/ddalpha.train.r 107 28b11620ba159a6fd916b328445bde2e *man/compclassf.classify.Rd 121 0696730fe876b622bd70549f3b39131b *man/ddalpha.classify.Rd 124 51f3aed347816ce02b5f23cbf65154a5 *man/ddalpha.test.Rd 126 157627e23e0e1b243e029afdb406f5a3 *man/ddalphaf.classify.Rd 168 7ae891638b40364965d25dac46124d33 *man/dknn.classify.Rd 169 6f093a53f8cd3cb37952e31bf6458290 *man/dknn.classify.trained.Rd [all …]
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/dports/math/R-cran-ddalpha/ddalpha/R/ |
H A D | ddalpha.classify.r | 16 ddalpha.classify <- function(ddalpha, argument 32 if(!is.null(ddalpha$classif.formula)){ 44 if (ddalpha$methodSeparator == "Dknn") 53 use.convex <- ddalpha$useConvex 68 for (i in 2:ddalpha$numPatterns){ 112 classify <- .getFunction(fname) functionVar 115 if (ddalpha$methodSeparatorBinary){ 118 …votes <- matrix(rep(0, nrow(depths)*ddalpha$numPatterns), nrow=nrow(depths), ncol=ddalpha$numPatte… 123 result <- classify(ddalpha, ddalpha$classifiers[[i]], depths) 139 indexes <- classify(ddalpha, ddalpha$classifiers[[1]], depths) [all …]
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/dports/math/R-cran-ddalpha/ddalpha/man/ |
H A D | ddalpha-package.Rd | 1 \name{ddalpha-package} 2 \alias{ddalpha-package} 3 \alias{ddalpha} 16 Package: \tab ddalpha\cr 22 Use \code{\link{ddalpha.train}} to train the DD-classifier and \code{\link{ddalpha.classify}} to cl… 33 …ctional DD-classifiers and \code{\link{compclassf.classify}} \code{\link{ddalpha.classify}} to cla… 68 \code{\link{ddalpha.train}}, \code{\link{ddalpha.classify}}, 70 …ddalphaf.train}}, \code{\link{ddalphaf.classify}}, \code{\link{compclassf.train}}, \code{\link{com… 78 \code{\link{plot.ddalpha}}, \code{\link{plot.ddalphaf}}, 99 ddalpha <- ddalpha.train(data$train) [all …]
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H A D | ddalpha.classify.Rd | 1 \name{ddalpha.classify} 2 \alias{ddalpha.classify} 3 \alias{predict.ddalpha} 11 ddalpha.classify(ddalpha, objects, subset, outsider.method = NULL, use.convex = NULL) 13 \method{predict}{ddalpha}(object, objects, subset, outsider.method = NULL, use.convex = NULL, ...) 16 \item{ddalpha, object}{ 17 DD\eqn{\alpha}-classifier (obtained by \code{\link{ddalpha.train}}). 26 … treatment to be used for outsiders; one of those trained by \code{\link{ddalpha.train}}. If the t… 57 \code{\link{ddalpha.train}} to train the DD-classifier. 78 ddalpha <- ddalpha.train(data$train, [all …]
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H A D | dknn.classify.trained.Rd | 1 \name{dknn.classify.trained} 2 \alias{dknn.classify.trained} 11 dknn.classify.trained(objects, dknn) 40 \code{\link{dknn.classify}} to classify with the Dknn-classifier. 42 \code{\link{ddalpha.train}} to train the DD\eqn{\alpha}-classifier. 44 \code{\link{ddalpha.getErrorRateCV}} and \code{\link{ddalpha.getErrorRatePart}} to get error rate o… 68 classes1 <- dknn.classify.trained(data$test[,propertyVars], cls) 73 classes2 <- dknn.classify(data$test[,propertyVars], data$train, k = cls$k, depth = "Mahalanobis")
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H A D | CustomMethods.Rd | 42 \code{ddalpha} \tab {the ddalpha object, containing the data and settings} 47 …n, e.g. \cr \tab \code{for (i in 1:ddalpha$numPatterns) ddalpha$patterns[[i]]$depths = .<NAME>_dep… 51 \code{ddalpha} \tab {the updated \code{ddalpha} object} 94 ddalpha$patterns[[i]]$depths = .MyDepth_depths(ddalpha, ddalpha$patterns[[i]]$points) 97 return(ddalpha) 223 # the interface of the classify function is equal for binary and multiclass classifiers 286 ddalpha$patterns[[i]]$depths = .Euclidian_depths(ddalpha, ddalpha$patterns[[i]]$points) 289 return(ddalpha) 334 # the interface of the classify function is equal for binary and multiclass classifiers 351 library(ddalpha) [all …]
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H A D | dknn.classify.Rd | 1 \name{dknn.classify} 2 \alias{dknn.classify} 11 dknn.classify(objects, data, k, depth = "halfspace", seed = 0) 50 \code{\link{dknn.classify.trained}} to classify with the Dknn-classifier. 52 \code{\link{ddalpha.train}} to train the DD\eqn{\alpha}-classifier. 54 \code{\link{ddalpha.getErrorRateCV}} and \code{\link{ddalpha.getErrorRatePart}} to get error rate o… 78 classes1 <- dknn.classify.trained(data$test[,propertyVars], cls) 83 classes2 <- dknn.classify(data$test[,propertyVars], data$train, k = cls$k, depth = "Mahalanobis")
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H A D | dknn.train.Rd | 44 \code{\link{dknn.classify}} and \code{\link{dknn.classify.trained}} to classify with the Dknn-class… 46 \code{\link{ddalpha.train}} to train the DD\eqn{\alpha}-classifier. 48 \code{\link{ddalpha.getErrorRateCV}} and \code{\link{ddalpha.getErrorRatePart}} to get error rate o… 72 classes1 <- dknn.classify.trained(data$test[,propertyVars], cls) 77 classes2 <- dknn.classify(data$test[,propertyVars], data$train, k = cls$k, depth = "Mahalanobis")
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H A D | ddalpha.train.Rd | 1 \name{ddalpha.train} 2 \alias{ddalpha.train} 236 \code{\link{ddalpha.classify}} for classification using DD-classifier, 261 classes1 <- ddalpha.classify(ddalpha1, data$test[,propertyVars]) 270 classes2 <- ddalpha.classify(ddalpha2, data$test[,propertyVars], 284 classes31 <- ddalpha.classify(ddalpha3, data$test[,propertyVars], 286 classes32 <- ddalpha.classify(ddalpha3, data$test[,propertyVars], 295 ddalpha = ddalpha.train( 300 CC = ddalpha.classify(ddalpha, mtcars) 313 c = ddalpha.classify(ddalphaD, ddplot[,1:3]) [all …]
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H A D | ddalpha.getErrorRateCV.Rd | 1 \name{ddalpha.getErrorRateCV} 2 \alias{ddalpha.getErrorRateCV} 11 ddalpha.getErrorRateCV (data, numchunks = 10, ...) 21 additional parameters passed to \code{\link{ddalpha.train}} 41 \code{\link{ddalpha.train}} to train the DD\eqn{\alpha}-classifier, 42 \code{\link{ddalpha.classify}} for classification using DD\eqn{\alpha}-classifier, 43 \code{\link{ddalpha.test}} to test the DD-classifier on particular learning and testing data, 44 \code{\link{ddalpha.getErrorRatePart}} to perform a benchmark study of the DD-classifier on particu… 59 stat <- ddalpha.getErrorRateCV(data, numchunks = 5) 66 stat2 <- ddalpha.getErrorRateCV(data, depth = "zonoid",
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H A D | ddalpha.test.Rd | 1 \name{ddalpha.test} 2 \alias{ddalpha.test} 10 ddalpha.test(learn, test, ...) 20 additional parameters passed to \code{\link{ddalpha.train}} 52 \code{\link{ddalpha.train}} to train the DD-classifier, 53 \code{\link{ddalpha.classify}} for classification using DD-classifier, 54 \code{\link{ddalpha.getErrorRateCV}} and \code{\link{ddalpha.getErrorRatePart}} to get error rate o… 76 stat <- ddalpha.test(data$train, data$test) 83 stat2 <- ddalpha.test(data$train, data$test, depth = "zonoid",
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H A D | ddalpha.getErrorRatePart.Rd | 1 \name{ddalpha.getErrorRatePart} 2 \alias{ddalpha.getErrorRatePart} 11 ddalpha.getErrorRatePart(data, size = 0.3, times = 10, ...) 24 additional parameters passed to \code{\link{ddalpha.train}} 50 \code{\link{ddalpha.train}} to train the DD\eqn{\alpha}-classifier, 51 \code{\link{ddalpha.classify}} for classification using DD\eqn{\alpha}-classifier, 52 \code{\link{ddalpha.test}} to test the DD-classifier on particular learning and testing data, 53 \code{\link{ddalpha.getErrorRateCV}} to get error rate of the DD-classifier on particular data. 68 stat <- ddalpha.getErrorRatePart(data, size = 10, times = 10) 75 stat2 <- ddalpha.getErrorRatePart(data, depth = "zonoid",
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H A D | compclassf.train.Rd | 13 classifier.type = c("ddalpha", "maxdepth", "knnaff", "lda", "qda"), 34 the classifier which is used on the transformed space. The default value is 'ddalpha'. 59 \code{\link{compclassf.classify}} for classification using functional componentwise classifier, 76 c = compclassf.train (learn, labels, classifier.type = "ddalpha") 78 classified = compclassf.classify(c, test)
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H A D | ddalphaf.train.Rd | 14 classifier.type = c("ddalpha", "maxdepth", "knnaff", "lda", "qda"), 58 the classifier which is used on the transformed space. The default value is 'ddalpha'. 100 \code{\link{ddalphaf.classify}} for classification using functional DD\eqn{\alpha}-classifier, 116 c1 = ddalphaf.train (learn, labels, classifier.type = "ddalpha", maxNumIntervals = 3) 118 classified1 = ddalphaf.classify(c1, test) 124 c2 = ddalphaf.train (learn, labels, classifier.type = "ddalpha", 133 classified2 = ddalphaf.classify(c2, test)
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H A D | compclassf.classify.Rd | 1 \name{compclassf.classify} 2 \alias{compclassf.classify} 11 compclassf.classify(compclassf, objectsf, subset, ...) 50 c = compclassf.train (learn, labels, classifier.type = "ddalpha") 52 classified = compclassf.classify(c, test)
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H A D | ddalphaf.classify.Rd | 1 \name{ddalphaf.classify} 2 \alias{ddalphaf.classify} 11 ddalphaf.classify(ddalphaf, objectsf, subset, ...) 52 c = ddalphaf.train (learn, labels, classifier.type = "ddalpha") 54 classified = ddalphaf.classify(c, test)
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H A D | depth.space.zonoid.Rd | 37 \code{\link{ddalpha.train}} and \code{\link{ddalpha.classify}} for application, \code{\link{depth.z…
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H A D | is.in.convex.Rd | 39 \code{\link{ddalpha.train}} and \code{\link{ddalpha.classify}} for application.
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H A D | depth.space.simplicial.Rd | 43 \code{\link{ddalpha.train}} and \code{\link{ddalpha.classify}} for application, \code{\link{depth.s…
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H A D | depth.space.Mahalanobis.Rd | 44 \code{\link{ddalpha.train}} and \code{\link{ddalpha.classify}} for application, \code{\link{depth.M…
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H A D | depth.space.spatial.Rd | 41 \code{\link{ddalpha.train}} and \code{\link{ddalpha.classify}} for application, \code{\link{depth.s…
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H A D | depth.space.simplicialVolume.Rd | 48 \code{\link{ddalpha.train}} and \code{\link{ddalpha.classify}} for application, \code{\link{depth.s…
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H A D | depth.space.projection.Rd | 52 \code{\link{ddalpha.train}} and \code{\link{ddalpha.classify}} for application, \code{\link{depth.p…
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H A D | depth.space.potential.Rd | 67 \code{\link{ddalpha.train}} and \code{\link{ddalpha.classify}} for application, \code{\link{depth.p…
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