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(Sorry - my poor attempts at formatting made that last email illegible! Here's a version that makes more sense ...) Mango Solutions are pleased to announce the following public courses in the UK. Course Advanced S-PLUS Programming Date 29th - 31st...
Try this ... poisNums <- rpois(100000, 3) # Calculate 100,000 poissons (mean 3) normNums <- sapply(poisNums, rnorm, mean=3) # Calculate N random normals # for each simulated poisson. Normal distribution is mean 3, sd 1 sumNums <- sapply(normNums, sum) mySeq <- seq(0...
Sorry - looks like the text wrapped when I sent this ... am resending with better format, so you can read the code! # This bit does the work ... > poisNums <- rpois(100000, 3) > normNums <- sapply(poisNums, rnorm, mean=3) > sumNums <- sapply(normNums, sum...
Here's a function that does what you want . haven't look at it for a while so it may need work. Should be pretty fast, since it just uses position-based referencing (ie. no cumsums etc). retain <- function(vec...
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