Dear all, Thank you in advance for your time and help. I quite new to R and face a problem with lapply and tapply functions. I simulated data and run the simulation 10 times to get 10 different simulated data. I have also built up my function and would like to apply this function to these 10 different data without repeating the code for 10 times. I now that we can use a loop family functions in R such as lapply or tapply functions. I tried both of them but both of them did not work. My data was stored as vector mode list.
Here is my data: library(VineCopula) library(copula) Runs= 10 Saveas = vector(mode = "list", length = Runs) pb <- txtProgressBar(min = 0, max = Runs, style = 3) for(j in 1:Runs){ setTxtProgressBar(pb, j) N=2000 dim=dim U=runif(N, min=0,max=1) X = matrix(NA, nrow=N, ncol=2) inds <- U < 0.7 X[inds, ] <- rCopula(sum(inds), claytonCopula(1, dim=2)) X[!inds, ] <- rCopula(N - sum(inds), frankCopula(4, dim=2)) Saveas[[j]] = X } Then I built my function. I would like to apply this function to the 10 simulation run. That is I have 10 simulated data and would like to run my function to these data. I tried lapply and tapply function but I got errors. This is my function: FUN1 <- EM_mixture_copula(data = Saveas[[j]],pi_1=pi_1,pi_2=pi_2,theta = theta, Theta=Theta, tol = .00001, maxit = 1000) Here is my tries with the errors that I got: > result <- tapply(X,FUN1,simplify = T) Error in tapply(X, FUN, simplify = T) : arguments must have same length. > Result <– lapply(X,FUN1) Error in get(as.character(FUN), mode = "function", envir = envir) : object 'F' of mode 'function' was not found. Once I got the result, I would like to have a summary statistics of my function for each run. So, can I use Summary(result) ? Any help, please? Kinds regards, Fadhah Sent from my iPhone [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.