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...,i] } My question is : Is there a more efficient way to do that computation, i.e. without a loop? Maybe I could use an "apply" or something but I can't figure out how. I would have hoped that simply doing array1%*%array2 would work, but it doesn?t Thank you very much! Sophie Baillargeon __________________________________________ Sophie Baillargeon, M.Sc. Professionnelle de recherche en statistique D?partement de math?matiques et de statistique Universit? Laval t?l?phone: (418) 656-2131 poste 2333 courriel: Sophie.Baillargeon at mat.ulaval.ca

Hi, When I run the following code : Y <- c(rep(0,35),1,2,0,6,8,16,43) cst <- log(choose(42, 42:1)) beta <- 42:1 tau <- (beta^2)/2 fit <- glm(formula = Y ~ offset(cst) + beta + tau, family = poisson) fit fit$converged glm prints a warning saying that the algorithm did not converge. However, fit$converged takes the value TRUE. I don't understand why fit$converged is not

...ates statistical significance by means of a randomization test. * StMoSim (1.1) Matthias Salvisberg http://crantastic.org/packages/StMoSim With this package you can simulate several lines into the QQnorm-Plot and the TA-plot under Gaussian distribution * stratification (2.0-2) Sophie Baillargeon http://crantastic.org/packages/stratification This package performs univariate stratification of survey populations. The main function implements a generalization of the Lavallee-Hidiroglou method of stratum construction. The generalized method takes into account a discrepancy between th...