R Graphical Manual

Last data update: 2014.03.03

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ROCcurve (Package: a4Classif) : Receiver operating curve

A ROC curve plots the fraction of true positives (TPR = true positive rate) versus the fraction of false positives (FPR = false positive rate) for a binary classifier when the discrimination threshold is varied. Equivalently, one can also plot sensitivity versus (1 - specificity).

● Data Source: BioConductor
● Keywords:
● Alias: ROCcurve
● 2 images

lassoClass (Package: a4Classif) : Classify using the Lasso

Classify using the Lasso algorithm as implemented in the glmnet package

● Data Source: BioConductor
● Keywords: models
● Alias: lassoClass
● 1 images

pamClass (Package: a4Classif) : Classify using Prediction Analysis for MicroArrays

Classify using the Prediction Analysis for MicroArrays (PAM) algorithm as implemented in the pamr package

● Data Source: BioConductor
● Keywords: models
● Alias: pamClass
● 0 images

rfClass (Package: a4Classif) : Classify using Random Forests

Classify using the Random Forest algorithm of Breiman (2001)

● Data Source: BioConductor
● Keywords: models
● Alias: plot.rfClass, rfClass
● 0 images