On 4/4/2016 9:15 PM, tan sj 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.
Don't try to code this yourself-- you'll run into a mess. Instead, use
the lovely SimDesign package, https://github.com/philchalmers/SimDesign
designed for just this purpose.
There are also some nice tutorial examples on a wiki,
https://github.com/philchalmers/SimDesign/wiki
best,
-Michael
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