Package index
-
LDAopt_MOD() - PP optimization using LDA index
-
NCI60 - NCI60 data set
-
PDAopt_MOD() - PP optimization using PDA index
-
PPTreeclass_MOD() - Projection pursuit classification tree
-
PPclassify_MOD() - predict PPtree
-
PPtree_splitMOD() - Projection pursuit classification tree with random variable selection in each split
-
Tree.construct_MOD() - Projection pursuit classification tree MOD
-
crab - Astralian crabs
-
explorapp() - Shiny app to compare PPtree, PPtreeExt and rpart boundaries in 2D with different simulation scenarios
-
findproj_MOD() - 1D projection for each node partition using entropy
-
fishcatch - Fish catch data set
-
glass - Glass data set
-
image - The image data set
-
leukemia - Leukemia data set This dataset comes from a study of gene expression in two types of acute leukemias, acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML). Gene expression levels were measured using Affymetrix high density oligonucleotide arrays containing 6817 human genes. A data set containing 72 observations from 3 leukemia types classes.
- Type
has 3 classes with 38 cases of B-cell ALL, 25 cases of AML and 9 cases of T-cell ALL
. - Gene1 to Gen 40
gene expression levels
-
lymphoma - Lymphoma data set
-
olive - The olive data set
-
parkinson - Parkinson data set
-
print(<PPtreeclassMOD>) - Print PPtreeclassMOD object
-
wine - Wine data set