R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 10 of 22 found.
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internal functions (Package: rknn) : Random KNN Internal Functions

Some internal and under-development functions

● Data Source: CranContrib
● Keywords: internal
● Alias: backward.rknn.cv, knn, knn.cv, knn.reg, kpart, kspart, pressresid, rbyb, rbylambda, rbyp, rbyv, rbyz, rbyz.geo, rbyz.sim, rknn.kf.xcv, rknn.pxcv, rknn.xcv
● 0 images

confusion (Package: rknn) : Classification Confusion Matrix and Accuracy

Compute classification confusion matrix and accuracy

● Data Source: CranContrib
● Keywords: classif
● Alias: confusion, confusion2acc
● 0 images

rknnSupport (Package: rknn) : Support Criterion

Compute support criterion using Random KNN classification or regression

● Data Source: CranContrib
● Keywords: multivariate
● Alias: rknnRegSupport, rknnSupport
● 0 images

print.rknnSupport (Package: rknn) : Print Method for Random KNN Support Criterion

Print support summary of the features.

● Data Source: CranContrib
● Keywords: print
● Alias: print.rknnSupport
● 0 images

bestset (Package: rknn) : Extract the Best Subset of Feature from Selection Process

Extract the best subset of feature from selection process.

● Data Source: CranContrib
● Keywords: multivariate
● Alias: bestset, prebestset
● 0 images

varUsed (Package: rknn) : Features Used or Not Used in Random KNN

List the features used or not used in Random KNN modeling.

● Data Source: CranContrib
● Keywords: multivariate
● Alias: varNotUsed, varUsed
● 0 images

print.rknnBE (Package: rknn) : Print Method for Recursive Backward Elimination Feature Selection

Print summary of recursive backward elimination feature selection.

● Data Source: CranContrib
● Keywords: print
● Alias: print.rknnBE
● 0 images

lambda (Package: rknn) : Compute Number of Silent Features

Compute number of silent features for Random KNN

● Data Source: CranContrib
● Keywords: distribution
● Alias: lambda
● 0 images

cv.coef (Package: rknn) : Coefficient of Variation

Compute coefficient of variation.

● Data Source: CranContrib
● Keywords: univar
● Alias: cv.coef
● 0 images

predicted (Package: rknn) : Prediced Value From a Linear Model

Extraceted predicted values from a linear model.

● Data Source: CranContrib
● Keywords: models
● Alias: predicted
● 0 images