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r2xcluster <- function(data,labels=FALSE,description=FALSE,file="xcluster.txt"){
#-------------------------------------------------------
#
# Created : 10/12/01
# Last Modified : Time-stamp: <2002-11-12 13:17:15 lucas>
#
# Description : Write to Xcluster file format (Xcluster make
# Hierarchical cluster analysis)
# Author : Antoine Lucas
# lucas@toulouse.inra.fr
# See Also : xcluster2r
#
# Xcluster : Xcluster is a C program that performs
# hierarchical clustering, K-means and
# SOM.
# Xcluster is copyrighted.
# To get or have information on Xcluster:
#
# http://genome-www.stanford.edu/~sherlock/cluster.html
#
# Licence : GPL (r2xcluster, not Xcluster)
#
#-------------------------------------------------------
#
#
# Example:
# source('r2xcluster.R')
# r2xcluster(data)
# system('Xcluster -f xcluster.txt')
# h <- xcluster2r('xcluster.gtr')
# library(mva)
# plot(h,hang=-1)
#
#-------------------------------------------------------
data <- as.data.frame(cbind(1,data))
# If the name column does not exist -> creation
# of this column else: put column name on
# first place.
if(!description){
if(!labels){
data <- cbind(row.names(data),data)
}
else{
data <- cbind(as.factor(data[,2]),data)
}
}
else{
data <- cbind(as.factor(data[,3]),data[,-3])
}
if(!labels){
data <- cbind(row.names(data),data)
}
else{
data <- cbind(as.factor(data[,3]),data[,-3])
}
levels(data[,1]) <- c(levels(data[,1]),"1","NAME","EWEIGHT")
levels(data[,2]) <- c(levels(data[,2]),"1","DESCRIPTION")
data <- rbind(1,data)
nom <- c("NAME","DESCRIPTION","GWEIGHT",names(data)[-c(1,2,3)])
data <- rbind(nom,data)
data[2,1] <- "EWEIGHT"
# NA will be replaced by "" in the file
#data[2:length(data[,1]),2] <- NA
data[2,2:3] <- NA
# Write file
write.table(data,file,sep='\t',row.names = FALSE,col.names = FALSE,na="",quote=FALSE)
}
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