Hi sst,
You could set up your sample sizes as a matrix if you don't want all
of the combinations:
sample_sizes<-matrix(c(10,10,10,25,25,25,...),nrow=2)
and then use one loop for the sample sizes:
for(ss in 1:dim(sample_sizes)[2]) {
ss1<-sample_sizes[1,ss]
ss2<-sample_sizes[2,ss]
then step through your SDs:
for(ssd in c(4,4.4,5,6,8)) {
Jim
On Tue, Apr 5, 2016 at 11:15 AM, tan sj <sj_style_1...@outlook.com> wrote:
> hi, i am new in this field.
>
>
> do
> favorite<http://stackoverflow.com/questions/36404707/simulation-study-of-2-sample-test-on-different-combination-of-factors#>
>
>
> If I wish to conduct a simulation on the robustness of two sample test by
> using R language, is that any ways in writing the code?
> There are several factors
> (sample sizes-(10,10),(10,25),(25,25),(25,50),(25,100),50,25),(50,100),
> (100,25),(100,100))
>
> (standard deviation ratio- (1.00, 1.50, 2.00, 2.50, 3.00 and 3.50))
> distribution of gamma distribution with unequal skewness and equal skewness
>
> I wish to test the pooled variance t test and welch t test and mann whitney
> by using the above combination of factors. But how can I combine them by
> using for loop or apply function??
> I am intending to use apply function but i am stucking. If i use for loop
> function, can i use for loop with vectors ?
> for (a in c(25,50,100)) #first group of sample sizes
> { for (b in c(25,50,100)) #second group of sample sizes
> { for (d in c(4,4.4,5,6,8)) #different SDs of first sample
> the above code is an example that I would like to modified but I found I have
> different sets of sample sizes.
>
> So if for loop with vectors, as shown in the code above, will the computer
> run from part (a) 25, to part(b) 25, then to the part (d) 4? then again the
> rotation 50->50->4.4?
>
> ?I hope can hear any news from this website ....please..thanks you.
>
> Regards
> sst
>
>
> [[alternative HTML version deleted]]
>
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