Am Dienstag, 28. Mai 2002 02:42 schrieb Joel Hammer:
I ran the data both on Excel and with my own bash script. They get close
results.
I have attached my data.txt and a better ps file, with the labels better
spaced out.
Sorry, Joel, my statistics used to be quite good 25 years ago, but now
Scribbling feverishly on May 25, Joel Hammer managed to emit:
I am using gnuplot. I want to have bar graphs of data with a superimposed
Gaussian distribution, based on the usual mean and standard deviation
that the typical spreadsheet calculates from the data. There is a
function called norm
I'll send this one directly to you.
Klaus
-- Weitergeleitete Nachricht --
Subject: Re: OT unix math function: norm
Date: Mon, 27 May 2002 19:06:26 +0200
From: Klaus-Peter Schrage [EMAIL PROTECTED]
To: [EMAIL PROTECTED]
Am Montag, 27. Mai 2002 00:07 schrieb Joel Hammer
Am Montag, 27. Mai 2002 00:07 schrieb Joel Hammer:
Ok, I can see now what you want - thought about replying off list, but I have
seen more devious discussions on this list -;)
Although I don't have the data underlying your bar graph, one can see by mere
visual inspection of your plot
When I have done that I have calculated the mean and standard deviation, and then used
those
to create a gaussian curve. You also need to normalize the curve to fit the data,
since a
normal gaussian distribution is normed to 1, but that is just a scale factor.
On Sun, 26 May 2002 18:07:45
Am Samstag, 25. Mai 2002 20:53 schrieb Joel Hammer:
Joel, I never noticed gnuplot before, but having read your posting I took some
tentative steps.
As to your problem, I think it's obvious:
norm(x)
is, as you have said too, the CUMULATIVE distribution function ('s-shaped'
curve) with
Thanks for the answer. It is helpful.
What I would like to do is make a Gaussian normal curve that will
superimpose itself over bar graphs showing a population distribution.
The idea is to give an immediate visual impression of how far from
normal the population data is given the population mean
I am using gnuplot. I want to have bar graphs of data with a superimposed
Gaussian distribution, based on the usual mean and standard deviation
that the typical spreadsheet calculates from the data. There is a
function called norm in the gnuplot program which sounds like this is
what I need.
Oh well.
I messed around with norm. It looks like it just gives the cumulative
frequency, which doesn't help.
So, I programmed gnuplot to give the Gaussian frequency for any given
x,u,and variance. It seems to work.
If anyone cares, here it is:
f(x)=exp(-((x-u)**2/(2*var)))/(sqrt(2*pi*var))
