In ewouddt/CCCBiclust: R Wrapper for Java Implementation of CCC and e-CC biclustering algorithm

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)

Installing the CCCBiclust Package

install.packages("devtools") # If not yet installed on your R Version
devtools::install_github("hadley/devtools") # Only run this if your currently installed 
                                            # devtools version is <= 1.12 (recursive dependencies bug)

devtools::install_github("ewouddt/CCCBiclust")

Should the installation of CCCBiclust or devtools::install_github("hadley/devtools") throw an error, please install the dependencies manually, then try:

install.packages(c("flexclust","biclust"))
devtools::install_github("ewouddt/CCCBiclust")

Examples

library(CCCBiclust)
data(heatdata)

# CCC #
out1 <- CCC(heatdata)
CCCinfo(out1,method="bonferroni",alpha=0.01)

# e-CCC #
out2 <- eCCC(heatdata,minr=3,minc=2)
eCCCinfo(out2,filter="Bonf0.01")
out2@info$eCCCpatterns$BC53[1:10,]

# e-CCC Extended #
out2 <- eCCC_ext(heatdata,minr=3,minc=2,missings="jump",anticorrelation = TRUE)
eCCCinfo(out2,filter="Bonf0.01")
out2@info$eCCCpatterns$BC53[1:10,]

ewouddt/CCCBiclust documentation built on May 16, 2019, 9:41 a.m.