Visualizing Classification Results

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Documentation for package ‘classmap’ version 1.2.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

classmap	Draw the class map to visualize classification results.
confmat.vcr	Build a confusion matrix from the output of a function 'vcr.*.*'.
data_bookReviews	Amazon book reviews data
data_floralbuds	Floral buds data
data_instagram	Instagram data
data_titanic	Titanic data
makeFV	Constructs feature vectors from a kernel matrix.
makeKernel	Compute kernel matrix
qresplot	Draw a quasi residual plot of PAC versus a data feature
silplot	Draw the silhouette plot of a classification
stackedplot	Make a vertically stacked mosaic plot of class predictions.
vcr.da.newdata	Carry out discriminant analysis on new data, and prepare to visualize its results.
vcr.da.train	Carry out discriminant analysis on training data, and prepare to visualize its results.
vcr.forest.newdata	Prepare for visualization of a random forest classification on new data.
vcr.forest.train	Prepare for visualization of a random forest classification on training data
vcr.knn.newdata	Carry out a k-nearest neighbor classification on new data, and prepare to visualize its results.
vcr.knn.train	Carry out a k-nearest neighbor classification on training data, and prepare to visualize its results.
vcr.neural.newdata	Prepare for visualization of a neural network classification on new data.
vcr.neural.train	Prepare for visualization of a neural network classification on training data.
vcr.rpart.newdata	Prepare for visualization of an rpart classification on new data.
vcr.rpart.train	Prepare for visualization of an rpart classification on training data.
vcr.svm.newdata	Prepare for visualization of a support vector machine classification on new data.
vcr.svm.train	Prepare for visualization of a support vector machine classification on training data.