Classification and tests

classim Classify image using a given classifier more routines
classc Convert mapping to classifier
labeld Find labels of objects by classification
cleval Classifier evaluation (learning curve)
clevalb Classifier evaluation (learning curve), bootstrap version
clevalf Classifier evaluation (feature size curve)
clevals Classifier evaluation (feature /learning curve), bootstrap
confmat Computation of confusion matrix
costm Cost mapping, classification using costs
crossval Crossvalidation
disperror Display error matrix with information on classifiers and datasets
labelim Construct image of labeled pixels
loso Leave_one_set_out crossvalidation
mclassc Computation of multi-class classifier from 2-class discriminants
reject Compute error-reject trade-off curve
roc Receiver-operator curve (ROC)
shiftop Shift operating point of classifier
testc General error estimation routine for trained classifiers
testd Error of dataset applied to given classifier
testauc Estimate error as area under the ROC

Plot routines

gridsize Set gridsize used in the PRTools plot commands more routines
plotc Plot discriminant function for two features
plote Plot error curves
plotf Plot feature distribution
plotm Plot mapping
ploto Plot object functions
plotr Plot regression functions
plotdg Plot dendrgram (see hclust)
scatterd Scatterplot
scatterdui Scatterplot scatterplot with feature selection
scatterr Scatter regression dataset
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