search for: 67474

...terisk_1.0-1_powerpc.deb -rw-rw-r-- 1 1176 1176 1067622 Jun 1 16:17 asterisk_1.0-1_s390.deb -rw-rw-r-- 1 1176 1176 1028522 Jun 1 02:32 asterisk_1.0-1_sparc.deb -rw-rw-r-- 1 1176 1176 2808513 May 31 22:17 asterisk_1.0.orig.tar.gz -rw-rw-r-- 1 1176 1176 67474 May 31 22:17 asterisk-dev_1.0-1_all.deb -rw-rw-r-- 1 1176 1176 1219912 May 31 22:17 asterisk-doc_1.0-1_all.deb -rw-rw-r-- 1 1176 1176 1347486 May 31 22:17 asterisk-sounds_1.0-1_all.deb -- Vice President of N2Net, a New Age Consulting Service, Inc. Company http:/...

I would like to write a function that computes Tukey's 1 df for nonadditivity. Here is a simplified version of the function I'd like to write: (m is an object created by lm): tukey.test <- function(m) { m1 <- update(m, ~.+I(predict(m)^2)) summary(m1)$coef } The t-test for the added variable is Tukey's test. This won't work: data(BOD) m1 <- lm(demand~Time,BOD)

Hi everyone, I've been having difficulty writing wrapper functions for some functions where those same functions include other functions with eval() calls where the environment is specified. A very simple example using function lmer from lme4: lmerWrapper <- function(formula, data, family = gaussian, method = c("REML", "ML", "PQL", "Laplace",