I am new in R. I have to conduct simulation study on the robustness of 2 sample
tests on several combination of factors (sample sizes ,variance and
distribution).
I have been completed write a code in normal distribution, and now i wish to
add if -else in the code so that the code can simulated result for gamma
distribution also.
But i am stucking again as how can i connect both of them by using if -else?
Can anyone just give me a brief idea on it ?
(i am sorry if this is no related )This is additional question,for gamma, since
the mean and variance are dependent on each other, so as i assume the null
hypothesis is TRUE, then do I need to minus the sample mean and add the overall
mean as well ?in order to make sure that the null hypothesis is TRUE...
Thanks in advance and i am sorry if this is a silly question ....
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
