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|
#!/usr/bin/perl
#-------------------------------------------------------------------------------
#
# Plot (using R)
# Data is feed as a 1 column of numbers
#
# Note: Any line that does not match a numeric regular expression, is filtered out).
#
# Pablo Cingolani
#-------------------------------------------------------------------------------
#-------------------------------------------------------------------------------
# Main
#-------------------------------------------------------------------------------
# Parse command line option (file base name)
$base = 'plot';
if( $ARGV[0] ne '' ) { $base = $ARGV[0]; }
if( $ARGV[1] ne '' ) { $label = $ARGV[1]; }
print "label:$label\n";
$pngFile = "$base.png";
$txtFile = "$base.txt";
# Read STDIN and create an R vector
open TXT, "> $txtFile" or die "Cannot open output file '$txtFile'\n";
print TXT "label\tx\n";
for( $ln = 0 ; $l = <STDIN> ; ) {
chomp $l;
# Does the string have a label and a number? (can be float)
if( $l =~ /^(\S+)\s+([-+]?[0-9]*\.?[0-9]+([eE][-+]?[0-9]+)?)$/ ) {
print "$1\t$2\n";
print TXT "$1\t$2\n";
}
}
close TXT;
#---
# Create an R program, save plot as PNG image
#---
open R, "| R --vanilla --slave " or die "Cannot open R program\n";
print R <<EOF;
plotChart <- function( x, labels, title, label ) {
keep <- (labels == label)
cat('label:', label, '\t', sum(keep), '\n')
plot(x, xaxt = "n", col=ifelse(keep, "red", "black"), pch=ifelse(keep, 15, 1))
axis(1, at=1:length(x), labels=labels)
# Mean & median calculated over the whola data
abline( h=mean(x), col='blue', lty=2, lwd=2);
abline( h=median(x), col='green', lty=2, lwd=2);
legend("topright",c("Mean","Median"),lty=c(1,1),col=c("blue","green"))
}
png('$pngFile', width = 1024, height = 1024);
data <- read.csv("$txtFile", sep='\\t', header = TRUE);
x <- data\$x
labels <- data\$label
plotChart( x, labels, "All data", '$label' );
print( summary( x ) )
dev.off();
quit( save='no' )
EOF
close R;
#---
# Show figure
#---
$os = `uname`;
$show = "eog";
if( $os =~ "Darwin" ) { $show = "open"; }
`$show $pngFile &`;
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