comparison cluster.tools/tab.2.cdt.R @ 0:0decf3fd54bc draft

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author peter-waltman
date Thu, 28 Feb 2013 01:45:39 -0500
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-1:000000000000 0:0decf3fd54bc
1 #!/usr/bin/env Rscript
2 argspec <- c("tab.2.cdt.R converts a data matrix to cdt format
3
4 Usage:
5 tab.2.cdt.R -d <data.file>
6 Optional:
7 -o <output_file>
8 \n\n")
9 args <- commandArgs(TRUE)
10 if ( length( args ) == 1 && args =="--help") {
11 write(argspec, stderr())
12 q();
13 }
14
15
16 lib.load.quiet <- function( package ) {
17 package <- as.character(substitute(package))
18 suppressPackageStartupMessages( do.call( "library", list( package=package ) ) )
19 }
20 lib.load.quiet(getopt)
21
22
23 spec <- matrix( c( "data.fname", "d", 1, "character",
24 "output.fname", "o", 2, "character"
25 ),
26 nc=4,
27 byrow=TRUE
28 )
29
30 opt <- getopt( spec=spec )
31 if ( is.null( opt$output.fname ) ) opt$output.fname <- sub( "tab$|csv$", "cdt", opt$data.fname )
32
33 data <- as.matrix( read.delim( opt$data.fname, row.names=1, check.names=FALSE ) )
34 cnames <- colnames( data )
35 data <- cbind( data[,1], data[,1], rep(1,nrow(data) ), data[, 2:ncol(data)] )
36 data <- rbind( c( "EWEIGHT", "", NA,
37 rep( 1, length( cnames[-1] ) ) ),
38 data )
39 colnames( data ) <- c( "UNIQID", "NAME", "GWEIGHT", cnames[-1] )
40 data <- rbind( colnames( data ), data )
41 colnames( data ) <- NULL
42
43 write.table( data, opt$output.fname, sep="\t", row.names=FALSE, col.names=FALSE, quote=FALSE )