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/dports/math/R-cran-ddalpha/ddalpha/
H A DNAMESPACE1 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 …]
H A DMD512 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 …]
/dports/math/R-cran-ddalpha/ddalpha/R/
H A Dddalpha.classify.r16 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$classifiers[[1]], depths)
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/dports/math/R-cran-ddalpha/ddalpha/man/
H A Dddalpha-package.Rd1 \name{ddalpha-package}
2 \alias{ddalpha-package}
3 \alias{ddalpha}
16 Package: \tab ddalpha\cr
22 Use \code{\link{ddalpha.train}} to train the DD-classifier and \code{\link{ddalpha.classify}} to cl…
33 …ctional DD-classifiers and \code{\link{compclassf.classify}} \code{\link{ddalpha.classify}} to cla…
68 \code{\link{ddalpha.train}}, \code{\link{ddalpha.classify}},
70 …ddalphaf.train}}, \code{\link{ddalphaf.classify}}, \code{\link{compclassf.train}}, \code{\link{com…
78 \code{\link{plot.ddalpha}}, \code{\link{plot.ddalphaf}},
99 ddalpha <- ddalpha.train(data$train)
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H A Dddalpha.classify.Rd1 \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$train,
[all …]
H A Ddknn.classify.trained.Rd1 \name{dknn.classify.trained}
2 \alias{dknn.classify.trained}
11 dknn.classify.trained(objects, dknn)
40 \code{\link{dknn.classify}} to classify with the Dknn-classifier.
42 \code{\link{ddalpha.train}} to train the DD\eqn{\alpha}-classifier.
44 \code{\link{ddalpha.getErrorRateCV}} and \code{\link{ddalpha.getErrorRatePart}} to get error rate o…
68 classes1 <- dknn.classify.trained(data$test[,propertyVars], cls)
73 classes2 <- dknn.classify(data$test[,propertyVars], data$train, k = cls$k, depth = "Mahalanobis")
H A DCustomMethods.Rd42 \code{ddalpha} \tab {the ddalpha object, containing the data and settings}
47 …n, e.g. \cr \tab \code{for (i in 1:ddalpha$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)
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H A Ddknn.classify.Rd1 \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")
H A Ddknn.train.Rd44 \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")
H A Dddalpha.train.Rd1 \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])
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H A Dddalpha.getErrorRateCV.Rd1 \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",
H A Dddalpha.test.Rd1 \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",
H A Dddalpha.getErrorRatePart.Rd1 \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",
H A Dcompclassf.train.Rd13 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)
H A Dddalphaf.train.Rd14 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)
H A Dcompclassf.classify.Rd1 \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)
H A Dddalphaf.classify.Rd1 \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)
H A Ddepth.space.zonoid.Rd37 \code{\link{ddalpha.train}} and \code{\link{ddalpha.classify}} for application, \code{\link{depth.z…
H A Dis.in.convex.Rd39 \code{\link{ddalpha.train}} and \code{\link{ddalpha.classify}} for application.
H A Ddepth.space.simplicial.Rd43 \code{\link{ddalpha.train}} and \code{\link{ddalpha.classify}} for application, \code{\link{depth.s…
H A Ddepth.space.Mahalanobis.Rd44 \code{\link{ddalpha.train}} and \code{\link{ddalpha.classify}} for application, \code{\link{depth.M…
H A Ddepth.space.spatial.Rd41 \code{\link{ddalpha.train}} and \code{\link{ddalpha.classify}} for application, \code{\link{depth.s…
H A Ddepth.space.simplicialVolume.Rd48 \code{\link{ddalpha.train}} and \code{\link{ddalpha.classify}} for application, \code{\link{depth.s…
H A Ddepth.space.projection.Rd52 \code{\link{ddalpha.train}} and \code{\link{ddalpha.classify}} for application, \code{\link{depth.p…
H A Ddepth.space.potential.Rd67 \code{\link{ddalpha.train}} and \code{\link{ddalpha.classify}} for application, \code{\link{depth.p…

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