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This will calculate a running standard deviation in one pass and should never have the possibility for overflow that can happen with other implementations. I suppose there is a potential for underflow in the corner case where the deltas are small or the values themselves are small.
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I was finding that this was 'blowing up' when processing a large number (1000's) of lat/long positions with an error message about attempting to SQRT a negative number.
Apparently the correct way is to do two passes, compute the mean first, sum the difference between value & mean.
You can do this with:
awk '{sum+=$1; array[NR]=$1} END {for(x=1;x<=NR;x++){sumsq+=((array[x]-(sum/NR))**2);}print sqrt(sumsq/NR)}' file.datcan you help me how to edit this command, if I have the values in 2nd column?
siti: Just replace all occurrences of $1 with $2 (in either version).
Thanks to mungewell for pointing out the overflow problem, and to ashawley for the elegant code.
Can someone help me to modify this code to be able to normalize each value of the column. I guess, after having the mean and the standard deviation, this should be pretty easy.
thanks in advance.