if I have the two following matrices, abline(0,1) doesn't go through. QQplot is attached.
[,1] [,2] [,3] [,4] [,5]
2.149644 1.992864 3.346375 2.793511 3.428230
1.100762 2.152981 2.735401 2.175185 3.323058
1.212406 2.131813 2.672598 2.389996 3.242490
1.183770 1.908633 2.661237 2.590545 2.906059
1.665190 1.778923 2.636062 2.475619 4.013407
0.601 0.083 0.520 0.920 -0.007
-0.778 0.427 -0.605 -0.066 -0.283
-0.599 0.348 -0.693 0.284 -0.436
-0.519 0.081 -0.590 0.678 -1.095
0.009 -0.253 -0.940 0.526 1.623
--- On Mon, 11/2/09, David Winsemius <dwinsem...@comcast.net> wrote:
> From: David Winsemius <dwinsem...@comcast.net>
> Subject: Re: [R] qqplot
> To: "carol white" <wht_...@yahoo.com>
> Cc: r-h...@stat.math.ethz.ch
> Date: Monday, November 2, 2009, 8:17 AM
>
> On Nov 2, 2009, at 10:40 AM, carol white wrote:
>
> > Hi,
> > We could use qqplot to see how two distributions are
> different from each other. To show better how they are
> different (departs from the straight line), how is it
> possible to plot the straight line that goes through them? I
> am looking for some thing like qqline for qqnorm. I thought
> of abline but how to determine the slope and intercept?
>
> I always assumed that the intercept was zero and the slope
> = unity.
>
> y <- rt(200, df = 5)
> qqnorm(y); qqline(y, col = 2)
> qqplot(y, rt(300, df = 5))
> abline(0, 1, col="red")
>
> I am open to education if that assumption is too
> simplistic, but you have not offered anything in the way of
> a counter-example.
>
> >
> ==
>
> David Winsemius, MD
> Heritage Laboratories
> West Hartford, CT
>
>
<<attachment: qqplot.png>>
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