Re: [R] Q re iterating a process and appending results to output file

Here is one way of doing it: # generate 200 x 2500 samples and then check them c <- qnorm(0.05) i <- 2500 iter <- 200 x <- matrix(rnorm(i * iter, 0, 1) < c,nrow=i) # TRUE/FALSE according to condition # now create the counts x.c <- colSums(x) # write out to a file 1 value on each line cat(x.c, fil

Re: [R] Q re iterating a process and appending results to output file

r-help@r-project.org Subject Re: [R] Q re iterating a process and appending results to output

[R] Q re iterating a process and appending results to output file

Greetings. This is very basic but we can't figure it out. The following simple code counts how many values land in the "tail" (below a quantile) of a standardized normal distribution of random numbers. First two commands are inputs: > c <-0.05 > i <-2500 Second two commands are formulas I want