comparison cluster.tools/normalize.matrix.R @ 1:dddfeedb85af draft

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author peter-waltman
date Fri, 01 Mar 2013 10:16:53 -0500
parents 0decf3fd54bc
children
comparison
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0:0decf3fd54bc 1:dddfeedb85af
15 15
16 args <- commandArgs(TRUE) 16 args <- commandArgs(TRUE)
17 if ( length( args ) == 1 && args =="--help") { 17 if ( length( args ) == 1 && args =="--help") {
18 write(argspec, stderr()) 18 write(argspec, stderr())
19 q(); 19 q();
20 }
21
22 ## some helper fn's
23 write.2.tab <- function( mat,
24 fname ) {
25 mat <- rbind( colnames( mat ), mat )
26 mat <- cbind( c( "ID", rownames( mat )[-1] ),
27 mat )
28 write.table( mat, fname, sep="\t", row.names=FALSE, col.names=FALSE, quote=FALSE )
20 } 29 }
21 30
22 lib.load.quiet <- function( package ) { 31 lib.load.quiet <- function( package ) {
23 package <- as.character(substitute(package)) 32 package <- as.character(substitute(package))
24 suppressPackageStartupMessages( do.call( "library", list( package=package ) ) ) 33 suppressPackageStartupMessages( do.call( "library", list( package=package ) ) )
54 if ( is.null( opt$center.cols ) ) { opt$center.cols <- 'none' } 63 if ( is.null( opt$center.cols ) ) { opt$center.cols <- 'none' }
55 if ( is.null( opt$var.adj.rows ) ) { opt$var.adj.rows <- 'none' } 64 if ( is.null( opt$var.adj.rows ) ) { opt$var.adj.rows <- 'none' }
56 if ( is.null( opt$var.adj.cols ) ) { opt$var.adj.cols <- 'none' } 65 if ( is.null( opt$var.adj.cols ) ) { opt$var.adj.cols <- 'none' }
57 66
58 data <- as.matrix( read.delim( opt$data.fname, header=T, row.names=1 , check.names=FALSE ) ) 67 data <- as.matrix( read.delim( opt$data.fname, header=T, row.names=1 , check.names=FALSE ) )
59
60 my.center <- rep( 0, nrow( data ) ) 68 my.center <- rep( 0, nrow( data ) )
61 my.var.adj <- rep( 1, nrow( data ) ) 69 my.var.adj <- rep( 1, nrow( data ) )
62 if ( opt$center.rows != "none" ) { 70 if ( opt$center.rows != "none" ) {
63 my.center.fn <- get( opt$center.rows ) 71 my.center.fn <- get( opt$center.rows )
64 ##data <- sweep( data, 1, apply( data, 1, my.center.fn, na.rm=T ) ) 72 ##data <- sweep( data, 1, apply( data, 1, my.center.fn, na.rm=T ) )
68 my.var.adj.fn <- get( opt$var.adj.rows ) 76 my.var.adj.fn <- get( opt$var.adj.rows )
69 my.var.adj <- apply( data, 1, my.var.adj.fn, na.rm=T ) 77 my.var.adj <- apply( data, 1, my.var.adj.fn, na.rm=T )
70 } 78 }
71 data <- t( scale( t( data ), center=my.center, scale=my.var.adj ) ) 79 data <- t( scale( t( data ), center=my.center, scale=my.var.adj ) )
72 80
73 my.center <- rep( 0, nrow( data ) ) 81 my.center <- rep( 0, ncol( data ) )
74 my.var.adj <- rep( 1, nrow( data ) ) 82 my.var.adj <- rep( 1, ncol( data ) )
75 if ( opt$center.cols != "none" ) { 83 if ( opt$center.cols != "none" ) {
76 my.center.fn <- get( opt$center.cols ) 84 my.center.fn <- get( opt$center.cols )
77 ##data <- sweep( data, 2, apply( data, 2, my.center.fn, na.rm=T ) ) 85 ##data <- sweep( data, 2, apply( data, 2, my.center.fn, na.rm=T ) )
78 my.center <- apply( data, 2, my.center.fn, na.rm=T ) 86 my.center <- apply( data, 2, my.center.fn, na.rm=T )
79 } 87 }
82 my.var.adj.fn <- get( opt$var.adj.cols ) 90 my.var.adj.fn <- get( opt$var.adj.cols )
83 my.var.adj <- apply( data, 2, my.var.adj.fn, na.rm=T ) 91 my.var.adj <- apply( data, 2, my.var.adj.fn, na.rm=T )
84 } 92 }
85 data <- scale( data, center=my.center, scale=my.var.adj ) 93 data <- scale( data, center=my.center, scale=my.var.adj )
86 94
87 write.table( data, opt$output.fname, sep="\t", quote=FALSE, col.names=NA ) 95 write.2.tab( data, opt$output.fname )
88 96