Hi,
I have a dataset. First of all, I know that my dataset shall follow the
Poission distribution. Now I have two questions:
1) How can I check that my data follow the Poisson distribution?
2) How can I calculate Lambda of my data?
Regards
Saeed
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(straight line fitted to the data).
Saeed
Philipp Pagel-5 wrote:
>
> On Tue, Feb 24, 2009 at 02:46:07AM -0800, Saeed Ahmadi wrote:
>> I have a data set (weight) that does not follow the Gaussian (Normal)
>> distribution. However, I have to transform the data before applying the
>&g
Hi Peter,
You are totally right and it was a miscalculating and misunderstanding from
me.
Regarding the R-squared calculation of non linear model (question 2), is
there any way to do that?
Regards
Saeed
Petr Pikal wrote:
>
> Hi
>
> r-help-boun...@r-project.org napsal dne 24.02.2009 11:31:22:
Hi,
I have a data set (weight) that does not follow the Gaussian (Normal)
distribution. However, I have to transform the data before applying the
Gaussian distribution. I used this syntax and used log(weight) as:
posJy.model<-glm(log(weight) ~ factor(pos),
family=gaussian(link='identity'), subset
Hi,
Thank you for the reply and suggestions.
I have two questions?
1) If I want to use log, it seems that I have to take log from both sides of
the model which will lead to lm(log(q)~log(-depth)). What is tehdifference
between this syntax and lm(log(q) ~ I(-depth))?
2) How can I calculate the R
h in the plot depth is drawn on Y axis but in the
regression model "depth" in independent. Plot shows the real world of what
happne to the crop root growth.
Thank you.
Saeed Ahmadi
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Hi,
I have a basic and simple question on how to code pairwise (multiple) mean
compariosn between levels of a factor using one of the Duncan, Tukey or LSD.
Thanks in advance,
Saeed
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