XSim2015: Bi-clustering using Co-Similarity (version in 2015)

Description Usage Arguments Value Examples

Description

Bi-clustering Biological Dataset using Co-similarity by Sang & Saad.

Usage

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XSim2015(x, y, itr = 2)

Arguments

x

matrix or dataframe of predictors, of dimension n*p; each row is an observation vector.

y

response variable (1 or 2)

itr

number of iterations.

Value

Return a list of objects.

Examples

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library(PDI2015)
# Test with Colon Cancer dataset
res = XSim2015(ColonCancer[, -1], ColonCancer[,1], itr = 4)

# Test News Groups dataset
res1 = XSim2015(NG20SMI$M2[[1]],  NG20SMI$M2[["class"]],  itr = 4)
res2 = XSim2015(NG20SMI$M2[[2]],  NG20SMI$M2[["class"]],  itr = 4)
res3 = XSim2015(NG20SMI$M5[[1]],  NG20SMI$M5[["class"]],  itr = 4)
res4 = XSim2015(NG20SMI$M10[[1]], NG20SMI$M10[["class"]], itr = 4)
res5 = XSim2015(NG20SMI$NG1[[1]], NG20SMI$NG1[["class"]], itr = 4)
res6 = XSim2015(NG20SMI$NG2[[1]], NG20SMI$NG2[["class"]], itr = 4)
res7 = XSim2015(NG20SMI$NG3[[1]], NG20SMI$NG3[["class"]], itr = 4)

daosang/PDI2015 documentation built on May 14, 2019, 6:07 p.m.