[R] Applying qqmath using gamma distribution...

[David Winsemius]

You should pay close attention to the definitions of the parameters  
passed to the various gamma functions.

x <- rgamma(1000, 2, 2)
library(mhsmm)
  qsh <- gammafit(x)$shape; qsc <- gammafit(x)$scale

 > qsh
          x
x 2.009260
 > qsc
           x
x 0.4827448


On Sep 4, 2009, at 11:59 AM, Petar Milin wrote:

> Thank you very much for the answer!
> However, instead of x being some uniform values, I have real values.
> Hence, if I have dat$V1 of my interest, formula should be like this:
>
> qqmath(~ V1, data=dat, distribution=function(V1) qgamma(V1,
> shape=gammafit(dat$V1)$shape, scale=gammafit(dat$V1)$scale))
>
> Is that correct?
> (gammafit() from mhsmm package calculates parameters of gamma  
> function)
>
> Thank you, again. Best,
> PM
>
> Duncan Murdoch wrote:
>> On 9/4/2009 8:36 AM, Petar Milin wrote:
>>> Hello ALL!
>>> Can anyone tell me how to specify qqmath() function with  
>>> distribution qgamma?
>>> In help it is bit vague how to pass shape and scale parameters for  
>>> gamma.
>> Take a look at the first example, which passes in the df parameter  
>> for a t distribution.  You want something like
>> x <- runif(1000)  # not a gamma, plot should look bad
>> qqmath(~ x, distribution=function(x) qgamma(x, shape=2, scale=2))
>> Duncan Murdoch
>>
>
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David Winsemius, MD
Heritage Laboratories
West Hartford, CT