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Shell Programming and Scripting
Pearson correlation between two files
Post 302647185 by balajesuri on Monday 28th of May 2012 01:41:03 AM
05-28-2012
Code:
#! /usr/bin/perl -w
use strict;
my ($x_bar, $x_sd, $y_bar, $y_sd, $i, $numerator, $r);
my (@f1_data, @f2_data);
open F1, "< file1";
for (<F1>) {
push (@f1_data, (split /\s+/)[2]);
}
close F1;
open F2, "< file2";
for (<F2>) {
push (@f2_data, (split /\s+/)[2]);
}
close F2;
($x_bar, $x_sd) = avg_sd (@f1_data);
($y_bar, $y_sd) = avg_sd (@f2_data);
for ($i=0; $i<@f1_data; $i++) {
$numerator += (($f1_data[$i] - $x_bar) * ($f2_data[$i] - $y_bar));
}
$r = $numerator / (@f1_data * $x_sd * $y_sd);
print "$r\n";
sub avg_sd {
my ($sum, $avg, $sum_of_sq, $sd) = (0, 0, 0, 0);
my @data = @_;
for (@data) {
$sum += $_;
}
$avg = $sum / @data;
for (@data) {
$sum_of_sq += (($_ - $avg) ** 2);
}
$sd = sqrt ($sum_of_sq / @data);
return ($avg, $sd);
}By the way, if the input data are fewer in number, I'd suggest you use a scientific calculator. I was using a Casio FX 991 MS back in college
I still have it. Masterpiece.This User Gave Thanks to balajesuri For This Post:
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LEARN ABOUT OPENSOLARIS
mlib_imagecrosscorrel_fp
mlib_ImageCrossCorrel_Fp(3MLIB) mediaLib Library Functions mlib_ImageCrossCorrel_Fp(3MLIB) NAME
mlib_ImageCrossCorrel_Fp - cross correlation SYNOPSIS
cc [ flag... ] file... -lmlib [ library... ] #include <mlib.h> mlib_status mlib_ImageCrossCorrel_Fp(mlib_d64 *correl, const mlib_image *img1, const mlib_image *img2); DESCRIPTION
The mlib_ImageCrossCorrel_Fp() function computes the cross-correlation between a pair of floating-point images. It uses the following equation: 1 w-1 h-1 correl[i] = ----- * SUM SUM (img1[x][y][i] * img2[x][y][i]) w*h x=0 y=0 where w and h are the width and height of the images, respectively. PARAMETERS
The function takes the following arguments: correl Pointer to cross correlation array on a channel basis. The array must be the size of channels in the images. correl[i] contains the cross-correlation of channel i. img1 Pointer to first image. img2 Pointer to second image. RETURN VALUES
The function returns MLIB_SUCCESS if successful. Otherwise it returns MLIB_FAILURE. ATTRIBUTES
See attributes(5) for descriptions of the following attributes: +-----------------------------+-----------------------------+ | ATTRIBUTE TYPE | ATTRIBUTE VALUE | +-----------------------------+-----------------------------+ |Interface Stability |Committed | +-----------------------------+-----------------------------+ |MT-Level |MT-Safe | +-----------------------------+-----------------------------+ SEE ALSO
mlib_ImageAutoCorrel(3MLIB), mlib_ImageAutoCorrel_Fp(3MLIB), mlib_ImageCrossCorrel(3MLIB), mlib_ImageNormCrossCorrel(3MLIB), mlib_ImageNormCrossCorrel_Fp(3MLIB), attributes(5) SunOS 5.11 2 Mar 2007 mlib_ImageCrossCorrel_Fp(3MLIB)