I was looking for a Shell script that could calculate the standard deviation of a data set. I found the one at http://tldp.org/LDP/abs/html/contributed-scripts.html#STDDEV that returns the arithmetic mean as well. I added one more function for calculating the median of the data set. The modified script follows:

#!/bin/bash # sttdev.sh: Standard Deviation # Original version obtained from: http://tldp.org/LDP/abs/html/contributed-scripts.html#STDDEV # 2009-03-09: Panagiotis Kritikakos # Function stat_median() added for calculating the median value # of the data set # ------------------------------------------------------------ # The Standard Deviation indicates how consistent a set of data is. # It shows to what extent the individual data points deviate from the #+ arithmetic mean, i.e., how much they "bounce around" (or cluster). # It is essentially the average deviation-distance of the #+ data points from the mean. # =========================================================== # # To calculate the Standard Deviation: # # 1 Find the arithmetic mean (average) of all the data points. # 2 Subtract each data point from the arithmetic mean, # and square that difference. # 3 Add all of the individual difference-squares in # 2. # 4 Divide the sum in # 3 by the number of data points. # This is known as the "variance." # 5 The square root of # 4 gives the Standard Deviation. # =========================================================== # count=0 # Number of data points; global. SC=9 # Scale to be used by bc. Nine decimal places. E_DATAFILE=90 # Data file error. # ----------------- Set data file --------------------- if [ ! -z "$1" ] # Specify filename as cmd-line arg? then datafile="$1" # ASCII text file, else #+ one (numerical) data point per line! datafile=sample.dat fi # See example data file, below. if [ ! -e "$datafile" ] then echo "\""$datafile"\" does not exist!" exit $E_DATAFILE fi # ----------------------------------------------------- arith_mean () { local rt=0 # Running total. local am=0 # Arithmetic mean. local ct=0 # Number of data points. while read value # Read one data point at a time. do rt=$(echo "scale=$SC; $rt + $value" | bc) (( ct++ )) done am=$(echo "scale=$SC; $rt / $ct" | bc) echo $am; return $ct # This function "returns" TWO values! # Caution: This little trick will not work if $ct > 255! # To handle a larger number of data points, #+ simply comment out the "return $ct" above. } <"$datafile" # Feed in data file. sd () { mean1=$1 # Arithmetic mean (passed to function). n=$2 # How many data points. sum2=0 # Sum of squared differences ("variance"). avg2=0 # Average of $sum2. sdev=0 # Standard Deviation. while read value # Read one line at a time. do diff=$(echo "scale=$SC; $mean1 - $value" | bc) # Difference between arith. mean and data point. dif2=$(echo "scale=$SC; $diff * $diff" | bc) # Squared. sum2=$(echo "scale=$SC; $sum2 + $dif2" | bc) # Sum of squares. done avg2=$(echo "scale=$SC; $sum2 / $n" | bc) # Avg. of sum of squares. sdev=$(echo "scale=$SC; sqrt($avg2)" | bc) # Square root = echo $sdev # Standard Deviation. } <"$datafile" # Rewinds data file. stat_median() { NUMS=(`sort -n $1`) TOTALNUMS=${#NUMS[*]} MOD=$(($TOTALNUMS % 2)) if [ $MOD -eq 0 ]; then ARRAYMIDDLE=$(echo "($TOTALNUMS / 2)-1" | bc) ARRAYNEXTMIDDLE=$(($ARRAYMIDDLE + 1)) MEDIAN=$(echo "scale=$SC; ((${NUMS[$ARRAYMIDDLE]})+(${NUMS[$ARRAYNEXTMIDDLE]})) / 2" | bc) elif [ $MOD -eq 1 ]; then ARRAYMIDDLE=$(echo "($TOTALNUMS / 2)" | bc) MEDIAN=${NUMS[$ARRAYMIDDLE]} fi echo $MEDIAN } # ======================================================= # mean=$(arith_mean); count=$? # Two returns from function! std_dev=$(sd $mean $count) median=$(stat_median $1) echo echo "Number of data points in \""$datafile"\" = $count" echo "Arithmetic mean (average) = $mean" echo "Standard Deviation = $std_dev" echo "Median number (middle) = $median" echo # ======================================================= # exit # This script could stand some drastic streamlining, #+ but not at the cost of reduced legibility, please. # ++++++++++++++++++++++++++++++++++++++++ # # A sample data file (sample1.dat): # 18.35 # 19.0 # 18.88 # 18.91 # 18.64 # $ sh stddev.sh sample1.dat # Number of data points in "sample1.dat" = 5 # Arithmetic mean (average) = 18.756000000 # Standard Deviation = .235338054 # Median number (middle) = 27.35 # ++++++++++++++++++++++++++++++++++++++++ #

I guess that could be done in Perl with fewer lines and using proper modules for the calculation, but I’m not in love with Perl… yet…

I guess that could be done in Perl with fewer lines and using proper modules for the calculation, but I’m not in love with Perl…

You should definitely fall in love with Perl, ASAP:

#!/usr/bin/env perl

use strict;

use warnings;

use Math::NumberCruncher;

my @data;

open (IN, “<“, “$ARGV[0]”) or die (“Cannot open $ARGV[0]: $!\n”);

while () {

push @data, $1 if (/(\d+)/);

}

close (IN);

printf(“Mean: %f\tMedian: %f\tStdDev: %f\n”,

Math::NumberCruncher::Mean(\@data),

Math::NumberCruncher::Median(\@data),

Math::NumberCruncher::StandardDeviation(\@data));

There is a condition in the while (stripped by wordpress):

while (<IN>) {

Mihali, thanks for confirming. Let’s consider the shell script as a learning process…

I get this:

Can’t locate Math/NumberCruncher.pm

when running the pearl script

I’d guess you don’t have the needed Perl module installed.

Or you could do it even shorter with awk on the command line:

awk ‘{ sum += $1; sumsq += $1*$1 } END { printf “Mean: %f, Std: %f\n”, sum/NR, sqrt(sumsq/NR – (sum/NR)^2) }’ filename

or if you only want certain lines in a file (ie simulation output):

grep ‘Thrust:’ filename | awk …

or the last N lines (ie steady-state):

grep ‘Thrust:’ filename | tail -N | awk…

thanks for support

@ B:

with the problem that the Std is not correct in your command.

It should be (with M the mean):

Std = sqrt( (1/N) * sum (x_i – M)^2 )

you compute:

wrong = sqrt( ((1/N) * sum (x_i^2)) – M^2 )

You need the mean inside the loop already…

How much do you pay for your font size?

Catalys, the same price you pay for increasing the font size on your browser…

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A bit off topic but perhaps will help someone.

I had to chance the following in the perl code

open (IN, “<”, “$ARGV[0]“) or die (“Cannot open $ARGV[0]: $!\n”);

while () {

push @data, $1 if (/(\d+)/);

}

to

open (IN, “<”, “$ARGV[0]“) or die (“Cannot open $ARGV[0]: $!\n”);

@data=;

in order to make the code work with decimal number.