On Mon, Jan 17, 2011 at 8:24 PM, S Ellison wrote:
> I was distracted enough by the possibility of hijacking hist() for this
> to give it a go.
>
> The following code implements a basic hanging rootogram based on a
> normal density with hist() breaks used as bins and bin midpoints used as
> the han
I was distracted enough by the possibility of hijacking hist() for this
to give it a go.
The following code implements a basic hanging rootogram based on a
normal density with hist() breaks used as bins and bin midpoints used as
the hanging location (not exact, I suspect, but perhaops good enough
On Sun, Jan 16, 2011 at 11:58 AM, Hugo Mildenberger
wrote:
> Thank you very much for your qualified answers, and also for the
> link to the Tukey paper. I appreciate Tukey's writings very much.
Yes, thanks to Hadley for the nice reference, I hadn't seen it before.
> Looking at the lattice code (
Thank you very much for your qualified answers, and also for the
link to the Tukey paper. I appreciate Tukey's writings very much.
Looking at the lattice code (below), a possible implementation might
involve binning, not so?
I see a problematic part here:
xx <- sort(unique(x))
Unique cer
On Sun, 16 Jan 2011, Hadley Wickham wrote:
The normal distribution is a continuous distribution, i.e., the frequency
for each observed value will essentially be 1/n and not converge to the
density function. Hence, you would need to look at histogram or smoothed
densities. Rootograms, on the othe
> The normal distribution is a continuous distribution, i.e., the frequency
> for each observed value will essentially be 1/n and not converge to the
> density function. Hence, you would need to look at histogram or smoothed
> densities. Rootograms, on the other hand, are intended for discrete
> di
On Sun, 16 Jan 2011, Hugo Mildenberger wrote:
Using R-2.12.1 and latticeExtra-0.6-14, I would like to understand
why a rootogram displaying samples from the Poisson distribution looks like I
expected it, whereas a rootogram using the normal distribution does not:
library(latticeExtra)
rootogram
Using R-2.12.1 and latticeExtra-0.6-14, I would like to understand
why a rootogram displaying samples from the Poisson distribution looks like I
expected it, whereas a rootogram using the normal distribution does not:
library(latticeExtra)
rootogram(~rpois(1000, lambda = 50), dfun = function(x)
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