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Hello all: I have a column of times in format x "16:30:00" "16:30:03" "16:59:00" etc which I need to convert into time variables and do some operations on. I do the command y<-strptime(x,"%H:%M:%S"). This executes almost istantly (for a column x of length 1000 in Windows, but in Unix, where I run my production jobs, this takes over 4 minutes. I know that generally my Unix box is much more powerfull than my Win machine, and R runs generally faster on Unix, but this particular command is very very slow. Why is that? How...

...;-do.call("expect_position",c(list(t=newtime),mypar)) #rho_x<-function(x,expect_position,sigma_pos) #NB: at t=0, the density blows up, since I have a delta as the initial state! # At any t>0, instead, the result is finite. #for this reason I now redefine time by getting rid of the istant t=0 to work out # the density rho_x_t<-matrix(ncol=nx,nrow=tsteps-1) for (i in 2:tsteps) {mypar<-c(exp_x[i],sig_xx[i]) myrho_x<-do.call("rho_x",c(list(x=newx),mypar)) rho_x_t[ i-1, ]<-myrho_x } ### Now I also define a scaled density rho_x_t_scaled<-matrix(ncol=nx,nrow=t...