Hi Team,
I am new to using apply function in R.
I want to find out the empirical quantiles of all items in a list.
## Fitting Kernal Density function
Emp_Marginals<-apply(M_Diff_Final,2,kde)
### Simulated variables
Sim_Cop<-abs(rmvnorm(10000,mean=apply(M_Diff_Final,2,mean),sigma=cov(M_Diff_Final),method="chol"))
####Now I am trying to use mapply but no help
# Sim_Quantiles<-matrix(mapply(qkde,Sim_Cop,fhat=Emp_Marginals,SIMPLIFY =
F),nrow=10,byrow=T)
#### Matrix Def
Sim_Quantiles<-matrix(0,nrow=nrow(Sim_Cop),ncol=ncol(Sim_Cop))
### The following code works but I want to avoid using for loops
for (j in 1:ncol(Sim_Quantiles)){
for (i in 1:nrow(Sim_Cop)){
Sim_Quantiles[i,j]<-qkde(Sim_Cop[i,j],Emp_Marginals[[j]])
}
}
Thanks and Regards,
Gaurang Mehta
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