With n = 100 I can see the two modes well separated in a density
plot.
However, I don't see why you cannot plot the density function, if
that's what you need:
curve(0.6 * dnorm(x, 0.4, 0.1) + 0.4 * dnorm(x, 0.8, 0.1), 0, 1.2)
Best,
Giovanni
> Date: Tue, 25 Aug 2009 13:55:26 +0100
> From: richard.cot...@hsl.gov.uk
> Sender: r-help-boun...@r-project.org
> Cc: R-help@r-project.org, r-help-boun...@r-project.org
> Precedence: list
>
> > I'm trying to draw the density function of a mixed normal distribution
> > in the form of:
> > .6*N(.4,.1)+ .4*N(.8,.1)
> > At first I generate a random sample with size 200 by the below code:
> > means = c(.4,.8)
> > sds = sqrt(c(.1,.1))
> > ind = sample(1:2, n, replace=TRUE, prob=c(.6,.4))
> > x=rnorm(n,mean=means[ind],sd=sds[ind])
> >
> > Then I use the below code for drawing the graph:
> > plot(density(x))
> >
> > The plot doesn't seem to be belonging to the desired distribution,
> > because there is just one mode in it (I've seen the real graph of this
> > mixed normal in a paper, it has two clear distinct modes). Even the
> > hist() doesn't draw a plot similar to the real graph. I think the
> > generation code isn't correct. Is it? (I've asked the generation code
> > here!)
>
> The code is fine - the reason you can't see two peaks is that the two
> distributions overlap a lot. Set
> means <- c(.4, 10)
> to see double peaks more clearly.
>
> Regards,
> Richie.
>
> Mathematical Sciences Unit
> HSL
>
>
>
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