Displaying 5 results from an estimated 5 matches for "matrix5_unequal".
2016 Apr 17
2
R [coding : do not run for every row ]
...ribution with equal skewness 1.5
#to evaluate the same R function on many different sets of data
library(parallel)
nSims<-100
alpha<-0.05
#set nrow =nsims because wan storing every p-value simulated
#for gamma distribution with equal skewness
matrix2_equal <-matrix(0,nrow=nSims,ncol=3)
matrix5_unequal<-matrix(0,nrow=nSims,ncol=3)
matrix8_mann <-matrix(0,nrow=nSims,ncol=3)
# to ensure the reproducity of the result
#here we declare the random seed generator
set.seed(1)
## Put the samples sizes into matrix then use a loop for sample sizes
sample_sizes<-matrix(c(10,10,10,25,25,25,25,50,...
2016 Apr 18
0
R [coding : do not run for every row ]
...ate the same R function on many different sets of data
> library(parallel)
>
> nSims<-100
> alpha<-0.05
>
> #set nrow =nsims because wan storing every p-value simulated
> #for gamma distribution with equal skewness
> matrix2_equal <-matrix(0,nrow=nSims,ncol=3)
> matrix5_unequal<-matrix(0,nrow=nSims,ncol=3)
> matrix8_mann <-matrix(0,nrow=nSims,ncol=3)
>
> # to ensure the reproducity of the result
> #here we declare the random seed generator
> set.seed(1)
>
> ## Put the samples sizes into matrix then use a loop for sample sizes
> sample_sizes...
2016 Apr 18
3
R [coding : do not run for every row ]
...ate the same R function on many different sets of data
> library(parallel)
>
> nSims<-100
> alpha<-0.05
>
> #set nrow =nsims because wan storing every p-value simulated
> #for gamma distribution with equal skewness
> matrix2_equal <-matrix(0,nrow=nSims,ncol=3)
> matrix5_unequal<-matrix(0,nrow=nSims,ncol=3)
> matrix8_mann <-matrix(0,nrow=nSims,ncol=3)
>
> # to ensure the reproducity of the result
> #here we declare the random seed generator
> set.seed(1)
>
> ## Put the samples sizes into matrix then use a loop for sample sizes
> sample_sizes...
2016 Apr 18
0
R [coding : do not run for every row ]
...ary(parallel)
>>>
>>> nSims<-100
>>> alpha<-0.05
>>>
>>> #set nrow =nsims because wan storing every p-value simulated
>>> #for gamma distribution with equal skewness
>>> matrix2_equal <-matrix(0,nrow=nSims,ncol=3)
>>> matrix5_unequal<-matrix(0,nrow=nSims,ncol=3)
>>> matrix8_mann <-matrix(0,nrow=nSims,ncol=3)
>>>
>>> # to ensure the reproducity of the result
>>> #here we declare the random seed generator
>>> set.seed(1)
>>>
>>> ## Put the samples sizes into m...
2016 Apr 18
0
R [coding : do not run for every row ]
...erent sets of data
>> library(parallel)
>>
>> nSims<-100
>> alpha<-0.05
>>
>> #set nrow =nsims because wan storing every p-value simulated
>> #for gamma distribution with equal skewness
>> matrix2_equal <-matrix(0,nrow=nSims,ncol=3)
>> matrix5_unequal<-matrix(0,nrow=nSims,ncol=3)
>> matrix8_mann <-matrix(0,nrow=nSims,ncol=3)
>>
>> # to ensure the reproducity of the result
>> #here we declare the random seed generator
>> set.seed(1)
>>
>> ## Put the samples sizes into matrix then use a loop for sa...