X-Git-Url: http://git.megacz.com/?a=blobdiff_plain;f=utils%2Fparallel%2Fstats.pl;fp=utils%2Fparallel%2Fstats.pl;h=6cf826b5cd92319200b64cde3e73f1b29f874f5f;hb=0065d5ab628975892cea1ec7303f968c3338cbe1;hp=0000000000000000000000000000000000000000;hpb=28a464a75e14cece5db40f2765a29348273ff2d2;p=ghc-hetmet.git

diff --git a/utils/parallel/stats.pl b/utils/parallel/stats.pl
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+++ b/utils/parallel/stats.pl
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+#!/usr/local/bin/perl
+##############################################################################
+# Time-stamp: <Sat Oct 28 1995 23:15:13 Stardate: [-31]6509.63 hwloidl>
+#
+# Usage: do ....
+#
+# Statistics package that is used in gran-extr, RTS2gran and friends.
+# Most of the routines assume a list of integers as input.
+# This package contains:
+#  - corr
+#  - mean_std_dev
+#  - cov
+#  - list_sum
+#  - list_max
+#  - list_min
+#
+##############################################################################
+
+# ----------------------------------------------------------------------------
+# Compute correlation of 2 vectors, having their sums precomputed.
+# Usage:  do corr(($n, $sum_1, @rest);
+#
+# Input: $n   ... number of all elements in @list_1 as well as in @list_2
+#                 (i.e. $n = $#list_1+1 = $#list_2+1).
+#        $sum_1 ... sum of all elements in @list_1
+#        @list_1 ... list of integers; first vector
+#        $sum_2 ... sum of all elements in @list_2
+#        @list_2 ... list of integers; first vector
+# Output: correlation of @list_1 and @list_2 
+# ----------------------------------------------------------------------------
+
+sub corr {
+    local ($n, $sum_1, @rest) = @_;
+    local (@list_1) = splice(@rest,0,$n);
+    local ($sum_2, @list_2) = @rest;
+       
+    local ($mean_1,$mean_2,$std_dev_1,$std_dev_2);
+
+    if ( $opt_D ) {
+      print "\ncorr: n=$n  sum_1=$sum_1  sum_2=$sum_2\n";
+      print "     list_sum of list_1=" . &list_sum(@list_1) . 
+              "   list_sum of list_2=" . &list_sum(@list_2) . "\n";
+      print "     len of list_1=$#list_1  len of list_2=$#list_2\n";
+    }
+
+    ($mean_1, $std_dev_1) = &mean_std_dev($sum_1,@list_1);
+    ($mean_2, $std_dev_2) = &mean_std_dev($sum_2,@list_2);
+
+    if ( $opt_D ) {
+      print "corr: $mean_1, $std_dev_1; $mean_2, $std_dev_2\n";
+    }
+
+    return ( ($std_dev_1 * $std_dev_2) == 0  ?
+               0 : 
+               &cov($n, $mean_1, @list_1, $mean_2, @list_2) / 
+	       ( $std_dev_1 * $std_dev_2 ) );
+}
+
+# ----------------------------------------------------------------------------
+
+sub mean_std_dev {
+    local ($sum,@list) = @_;
+    local ($n, $s, $s_);
+
+    #print "\nmean_std_dev: sum is $sum ; list has length $#list";
+
+    $n = $#list+1;
+    $mean_value = $sum/$n;
+
+    $s_ = 0;
+    foreach $x (@list) {
+	$s_ += $x;
+        $s += ($mean_value - $x) ** 2;  
+    }
+    if ( $sum != $s_ ) {
+      print "stat.pl: ERROR in mean_std_dev: provided sum is wrong  " .
+            "(provided: $sum; computed: $s_ " . 
+            ";list_sum: " . &list_sum(@list) . "\n";
+      exit (2);
+    }
+
+    return ( ($mean_value, sqrt($s / ($n - 1)) ) );
+}
+
+# ----------------------------------------------------------------------------
+
+sub _mean_std_dev {
+    return ( &mean_std_dev(&list_sum(@_), @_) );
+}
+
+# ----------------------------------------------------------------------------
+# Compute covariance of 2 vectors, having their sums precomputed.
+# Input: $n   ... number of all elements in @list_1 as well as in @list_2
+#                 (i.e. $n = $#list_1+1 = $#list_2+1).
+#        $mean_1 ... mean value of all elements in @list_1
+#        @list_1 ... list of integers; first vector
+#        $mean_2 ... mean value of all elements in @list_2
+#        @list_2 ... list of integers; first vector
+# Output: covariance of @list_1 and @list_2 
+# ----------------------------------------------------------------------------
+
+sub cov {
+    local ($n, $mean_1, @rest) = @_;
+    local (@list_1) = splice(@rest,0,$n);
+    local ($mean_2, @list_2) = @rest;
+
+    local ($i,$s,$s_1,$s_2);
+
+    for ($i=0; $i<$n; $i++) {
+	$s_1 += $list_1[$i];
+	$s_2 += $list_2[$i];
+	$s += ($mean_1 - $list_1[$i]) * ($mean_2 - $list_2[$i]);
+    }
+    if ( $mean_1 != ($s_1/$n) ) {
+      print "stat.pl: ERROR in cov: provided mean value is wrong " . 
+            "(provided: $mean_1; computed: " . ($s_1/$n) . ")\n"; 
+      exit (2);
+    }
+    if ( $mean_2 != ($s_2/$n) ) {
+      print "stat.pl: ERROR in cov: provided mean value is wrong " .
+            "(provided: $mean_2; computed: " . ($s_2/$n) . ")\n"; 
+      exit (2);
+    }
+    return ( $s / ($n - 1) ) ;
+}
+
+# ---------------------------------------------------------------------------
+
+sub list_sum {
+    local (@list) = @_;
+    local ($sum) = (0);
+
+    foreach $x (@list) {
+	$sum += $x;
+    }
+
+    return ($sum);
+}
+
+# ----------------------------------------------------------------------------
+
+sub list_max {
+    local (@list) = @_;
+    local ($max) = shift;
+
+    foreach $x (@list) {
+	$max = $x  if $x > $max;
+    }
+
+    return ($max);
+}
+
+# ----------------------------------------------------------------------------
+
+sub list_min {
+    local (@list) = @_;
+    local ($min) = shift;
+
+    foreach $x (@list) {
+	$min = $x  if $x < $min;
+    }
+
+    return ($min);
+}
+
+# ----------------------------------------------------------------------------
+
+1;