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 M
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))
I
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.
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.
Thank you in advance. Best,
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