yeast

<p>The yeast dataset consists of 1484 yeast sequences which were classified into 10 classes. It has the 8 putative variables that may predict the response variable. The  yeast sequences are from SWISS-PROT database. There are 463 CYT, 429 NUC, 244 MIT, 163 ME3, 51 ME2, 44 ME1, 35 EXC, 30 VAC, 20 POX and 5 ERL in yeast dataset.</p>

datasets

Implements recursive partitioning based, nonparametric methods for high
dimensional regression and classification. Depending on the aims of data analysis as well as the
structures of the data, macs provides three major functions: multivariate adaptive regression
models, classification trees and survival trees. A list of references for this package is, Zhang, H. (1997) <doi:10.1080/10618600.1997.10474728>, Zhang, H. et al. (1999) <ISBN:978-1-4757-3027-2>, Zhang, H. et al. (2014) <doi:10.1002/gepi.21843>.

Qi Yu

macs

Recursive Partitioning Based Multivariate Adaptive Regression
Models, Classification Trees, Survival Trees

yeast function

<p>A data.frame containing 1484 yeast sequences.</p>

yeast: Yeast sequences which were classified into 10 classes

Description

Usage

Arguments

Format

References