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Show HN: st – simple statistics from the command line

73 points| nferraz | 12 years ago |github.com

25 comments

order

imurray|12 years ago

For casual purposes st may be convenient, but it doesn't have state of the art numerical stability:

    my $variance = $count > 1 ? ($sum_square - ($sum**2/$count)) / ($count-1) : undef;
Taking the difference between two similar numbers loses precision, and in extreme cases squaring the raw numbers could cause overflow. For comparison, see the recently posted: http://www.python.org/dev/peps/pep-0450/ and https://en.wikipedia.org/wiki/Algorithms_for_calculating_var...

Sprint|12 years ago

I'd just use octave. It's as simple as

  $ octave
  octave:1> a=load('numbers.txt');  
  octave:2> sum(a)
  ans =  55
  octave:3> mean(a)
  ans =  5.5000
  octave:4> std(a)
  ans =  3.0277
  octave:5> quantile(a)
  ans =
  
      1.0000
      3.0000
      5.5000
      8.0000
     10.0000
etc

nferraz|12 years ago

I like octave and R!

The reason I wrote this script was to get quick results from the command line.

For instance: I could use grep, cut and other unix tools to get the numbers from a file and make quick calculations.

Of course, for complex processing I would use octave or R.

asgeirn|12 years ago

Would you be able to use Octave for reading from stdin?

philsnow|12 years ago

One suggestion: whatever the default may be, give an option to have line-delimited output rather than column-delimited.

IMHO if you want your script's output to be easily usable by other scripts, line-delimited is easier since you can grep out what lines you want rather than having to rely on the column position never changing (since you can give cut only a field number and not a field name like "average").

sprayk|12 years ago

suckless' terminal emulator already uses the name st, though it's not quite popular enough to be in any major repos.

http://st.suckless.org/

nferraz|12 years ago

Thanks for the information!

I wanted to use "stat", but it was already used (display file status); "statistics" was too big.

Just as curiosity, I got the idea for this script when I wanted to calculate the sum of some numbers and discovered that the "sum" command was used for another purpose (display file checksums and block counts)!

riffraff|12 years ago

maybe you are not aware of it, but there is a nifty little tool in freebsd called ministat that somewhat overlaps with what you did, maybe of interest:

http://www.freebsd.org/cgi/man.cgi?query=ministat&apropos=0&...

nferraz|12 years ago

Nice! They definitely overlap, although there are a few differences... I'm not sure if ministat accepts bignum, scientific notation, etc.

pjungwir|12 years ago

Lovely! As someone with my own little script to sum up the values in a given column, I can see how you'd want to just have this tool sitting ready to hand in ~/bin in wherever. And this script seems to adhere better to the Unix way than mine, since it's easy to use cut(1) to extract whatever column you want, but it makes sense for one tool to do sum, mean, sd, etc. Thanks for sharing!

fsiefken|12 years ago

Nice, is there a maximum rowcount? What would be nice is a way to do a sum on a second or third column - or would you use awk to get those and pipe the result to st?

nferraz|12 years ago

There isn't a max rowcount for sum, mean, variance, etc, because it is not necessary to hold the data in memory.

The calculation of median and quartiles require that the whole set is stored and later sorted, so it is limited to the available memory.

Regarding your suggestion -- I'm considering the idea of dealing with multiple columns and even CSV and other types of tabulated data.

nidoran|12 years ago

cut is also a good option when dealing with column-based data. Just specify the delimiter and which column you want.

hnriot|12 years ago

why not write a one line python program instead? I'd never use the shell for these kinds of things. Quickly they grow into more than something that a simple one liner can handle. Before you know it, you're reading from a CSV and summing column "foo" and so on. This then turns your shell approach into mess, instead of a (now 5 line) python program.