Hi R-users,
I have a problem for updating the estimates of correlation coefficient in
simulation loop.
I want to get the matrix of correlation coefficients (matrix, name: est) from
geese by using loop(500 times) .
I used following code to update,
nsim<-500
est<-matrix(ncol=2, nrow=nsim)
for(i in
Hi All,
I would like to do double boostrapping to estimate 95% CI coverage.
So, I can only need to estimate 95% confidence interval from each
bootstrapped sample.
Since we don't have a closed form of 95% CI, in order to get 95% CI for each
sample, we need to use bootstrapping.
For outer bootstra
Hi R-users,
I would like to compute 95%CI coverage for each bootstrapped sample.
But, I don't know how to get 95% CI of estimate for each bootstrapped sample.
I could only see the estimate of each bootstrapped sample.
Thanks,
Becky
__
R-help@r-project.
Hi,
I have a problem in programming for bootstrapping.
I don't know why it show the error message.
Please see my code below:
#'st' is my original dataset.
#functions of 'fml.mlogl','pcopula.fam4','ltd','invltd' are already defined
boot.OR<-function(data,i)
{
E=data[i,]
ml1<-glm(c_VAsex90_bf ~ trt
Hi,
For bootstrapping method, I would like to resample the entire row instead of
one column.
What should I do?
Thanks,
Becky
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