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2016 Apr 06
0
R-dvel [robustness Simulation study of 2 sample test on several combination of factors ]
...4,6,8,10,12,14)
# this number is needed below
nsds<-length(sds)
set.seed(8)
#number of simulations
nSims<-10000
#set significance level,alpha for the whole simulatio
alpha<-0.05
#set empty vector of length no.of _calculations_ to store p-values
# Note: you have 54 calculations, not 10000
ncalcs<-dim(sample_sizes)[2]*nsds
t_equal <-c(rep(0,length=ncalcs))
t_unequal <-c(rep(0,length=ncalcs))
mann <-c(rep(0,length=ncalcs))
#set up matrix for storing data from the vectors
# but you do want 10000 replications of each calculation
matrix_Equal<-matrix(rep(NA,ncalcs*nSims),nrow=n...
2016 Apr 06
0
R-dvel [robustness Simulation study of 2 sample test on several combination of factors ]
...ds<-length(sds)
> set.seed(8)
>
> #number of simulations
> nSims<-10000
> #set significance level,alpha for the whole simulatio
> alpha<-0.05
>
> #set empty vector of length no.of _calculations_ to store p-values
> # Note: you have 54 calculations, not 10000
> ncalcs<-dim(sample_sizes)[2]*nsds
> t_equal <-c(rep(0,length=ncalcs))
> t_unequal <-c(rep(0,length=ncalcs))
> mann <-c(rep(0,length=ncalcs))
>
> #set up matrix for storing data from the vectors
> # but you do want 10000 replications of each calculation
> matrix_Equal<-...
2002 Oct 17
1
underflow handling in besselK (PR#2179)
...*). The answer may be as simple as returning 0 rather than +Inf
in this case.
If this is appropriate, the following patch should do the job:
*** bessel_k.c Thu Oct 17 13:55:55 2002
--- bessel_k.c.dist Thu Oct 17 13:48:53 2002
***************
*** 216,224 ****
ML_ERROR(ME_RANGE);
*ncalc = *nb;
for(i=0; i < *nb; i++)
! if (ex<=0)
! bk[i] = ML_POSINF;
! else bk[i]=0.0;
return;
}
k = 0;
--- 216,222 ----
ML_ERROR(ME_RANGE);
*ncalc = *nb;
for(i=0; i < *nb; i++)
! bk[i] = ML_POSINF;
return;
}
k = 0;
(...