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Re: simple plot
Hi Wang,
sorry, there's a mistake in my previous mail. As your data
varies in time dimension too, you should sum over that dimension also
in creating p, q, r and s. So, just replate those lines by the
followings:
let p = xv[x=@sum,y=@sum,t=@sum]
let q = yv[x=@sum,y=@sum,t=@sum]
let r = xy[x=@sum,y=@sum,t=@sum]
let s = xx[x=@sum,y=@sum,t=@sum]
regards,
arindam chakraborty
On Fri, 5 Nov 2004, Arindam Chakraborty wrote:
> hi Wendy,
> you can do it in the following way:
>
> let xv = temp[k=2]; ! define variable which will be along x-axis
> let yv = s[k=2]; ! define variable which will be along y-axis
>
> ! plot the data
> plot/vs/sym=1 xv, yv
>
> ! now make the linear fit using least square method
> ! basically calculate ave and amp of the equation: y = amp*x + ave
>
> let xy = xv*yv
> let xx = xv*xv
>
> let p = xv[x=@sum,y=@sum]
> let q = yv[x=@sum,y=@sum]
> let r = xy[x=@sum,y=@sum]
> let s = xx[x=@sum,y=@sum]
>
> let n = xy[x=@ngd,y=@ngd]
> list n
>
> let amp = (n*r - p*q)/(n*s - p*p)
> let ave = (q - amp*p)/n
>
> list amp, ave
>
>
> Hope this helps,
>
> ----------------------------
> ARINDAM CHAKRABORTY
> Department of Meteorology
> Florida State University
> Tallahassee, FL-32306, USA
> Tel: +001-850-6443524 (Off)
> +001-850-5758550 (Res)
> Fax: +001-850-6449642
> email: arch@io.met.fsu.edu
> arindam@met.fsu.edu
> ____________________________
>
> On Fri, 5 Nov 2004, Wendy Wang wrote:
>
> > Hi ferret_users,
> >
> > I have a dataset like:
> >
> > name title I J K
> > L
> > S Salinity 1:161 1:91 1:21 1:636
> > TEMP Temperature 1:161 1:91 1:21 1:636
> >
> > I want to make one scatter plot using k=2 data:
> > X axis is temp, Y axis is S. Then do the linear fit.
> >
> > Does someone know how? It may be simple,
> > but I cannot figure it out.
> >
> > Thanks in advance.
> > Wendy Wang
> >
>
>
>
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