search for: marketsolutionsgroup

...Cell phones 0 0 7 193 Plastic lids Canned goods 0 0 7 197 Plastic lids Hand/dish towel 3 0 12 Thank you. Greg Blevins The Market Solutions Group Windows xp, 2.1.1 Gregory L. Blevins Vice President, Partner The Market Solutions Group, Inc. gblevins at marketsolutionsgroup.com Office phone: 612 392-3163 Cell phone: 612 251-0232 "What is at the beginning but a small error, swells to huge proportions at the close." Aristotle

I will be involved with an analysis based on a file that will be roughly 25 meg. Assuming I have enough memory, is their any limitations to using R on a file this large. Thank you, Gregory L. Blevins Vice President, Partner The Market Solutions Group, Inc. gblevins at marketsolutionsgroup.com Office phone: 612 392-3163 Cell phone: 612 251-0232

Hello list, I have the following function which, as you can see, uses mean: meanratings <- round(apply(stack03[,c(102:121)],2,function(x) (tapply(x ,actcode, mean, na.rm=T))), digits=1) The above function yields the following output: q27a q27b q27c q27d q27e q27f q27g q27h q27i q27j q27k q27l q27m q27o q27p 1 7.8 8.1 7.7 7.9 7.9 NaN NaN 8.4 7.8 7.0 7.6 NaN NaN 7.1 6.0 2

Hello, I have struggled, for longer than I care to admit, with this seemingly simple problem, but I cannot find a solution other than the use of long drawn out ifelse statements. I know there has to be a better way. Here is stripped down version of the situation: I start with: a <- c(1,0,1,0,0,0,0) b <- c(1,1,1,1,0,0,0) c <- c(1,1,0,1,0,0,0) rbind(a,b,c) [,1] [,2] [,3] [,4] [,5]

Hello, I have a df, pp, with five variables: > nobs(pp) q10_1 q10_2 q10_3 q10_4 actcode 1620 1620 1620 1620 1620 I want to create a loop to run four xtabs (the first four variables above by the fifth) and then store the results in a matrix. Below I make my intent clear by showing the output of one xtab which is inserted into a matrix. > a <- xtabs(q10_1 ~