removed extra versions of diff and lin_reg;

1 files changed, 0 insertions, 96 deletions

diff --git a/lin_reg2.awk b/lin_reg2.awk
deleted file mode 100644
index d6097e3..0000000
--- a/lin_reg2.awk
+++ /dev/null
@@ -1,96 +0,0 @@
-#!/usr/bin/awk -f
-
-### lin_reg2.awk
-# simple linear regression between columns
-
-
-BEGIN {
-    sign = "[+-]?"
-    decimal = "[0-9]+[.]?[0-9]*"
-    fraction = "[.][0-9]*"
-    exponent = "([Ee]" sign "[0-9]+)?"
-    number = "^" sign "(" decimal "|" fraction ")" exponent "$"
-}
-
-
-# column headers
-NR == 1 {
-    for (n=1; n<=NF; n++)
-        ($n ~ number) ? header[n] = "col" n : header[n] = $n
-}
-
-
-# read input data
-NF > 0 {
-    (NF > nf_max) ? nf_max = NF : nf_max = nf_max
-
-    # columns
-    for (y=1; y<=nf_max; y++) {
-        if ($y == header[n])
-            continue
-
-        if ($y ~ number) {
-
-            # mean
-            count[y] += 1
-            sum[y] += $y
-            sum2[y] += $y*$y
-            delta0[y] = $y - mean[y]
-            mean[y] += delta0[y]/count[y]
-            delta1[y] = $y - mean[y]
-            sum_delta[y] += delta1[y]
-            sum_delta2[y] += delta0[y]*delta1[y]
-
-            # x = row, y = col, trendline: y = A + Bx
-            for (x=1; x<=nf_max; x++) {
-                count[x,y] += 1
-                sum_xy[x,y] += $x*$y
-                sum_delta_xy[x,y] += delta0[x]*delta1[y]
-
-                # correlation
-                r_den[x,y] = sqrt(sum_delta2[x]*sum_delta2[y])
-                (r_den[x,y]) ? r[x,y] = sum_delta_xy[x,y]/r_den[x,y] : r[x,y] = 1
-
-                ab_den[x,y] = (count[x,y]*sum2[x] - sum[x]*sum[x])
-                if (ab_den[x,y]) {
-                    a[x,y] = (sum[y]*sum2[x] - sum[x]*sum_xy[x,y])/ab_den[x,y]
-                    b[x,y] = (count[x,y]*sum_xy[x,y] - sum[x]*sum[y])/ab_den[x,y]
-                }
-                else {
-                    a[x,y] = 0
-                    b[x,y] = 1
-                }
-
-                # error estimate
-                err_den[x,y] = count[x,y]*(count[x,y] - 2)
-                if (count[x,y] > 2) {
-                    err[x,y] = $y - (a[x,y] + b[x,y]*$x)
-                    sum_err2[x,y] += err[x,y]*err[x,y]
-                }
-                b_err_den[x,y] = (count[x,y] - 2)*sum_delta2[x]
-                if (b_err_den[x,y])
-                    b_err[x,y] = sqrt(sum_err2[x,y]/b_err_den[x,y])
-                a_err_den[x,y] = count[x,y]*b_err_den[x,y]
-                if (a_err_den[x,y])
-                    a_err[x,y] = sqrt(sum2[x]/count[x,y])*b_err[x,y]
-            }
-        }
-        else
-            continue
-    }
-}
-
-
-END {
-    for (y=1; y<=nf_max; y++) {
-        for (x=1; x<=nf_max; x++) {
-            if (x != y && r[x,y]) {
-                printf(OFMT OFS "(%s)" OFS " = (" OFMT " +/- " OFMT ")(%s)" OFS " + (" OFMT " +/- " OFMT ")" ORS,
-                    10.0*log(r[x,y]*r[x,y])/log(10.0),
-                    header[y], b[x,y], b_err[x,y],
-                    header[x], a[x,y], a_err[x,y])
-            }
-        }
-    }
-}
-