search for: a2b1

Dear all, I want to concatenate the elements of two vectors such as a<-c("a1","a2") b<-c("b1","b2") and obtain "a1b1", "a1b2","a2b1","a2b2" I tried the paste and paste0 functions, but they yielded elementwise concatenation such as "a1b1","a2b2" I am wondering that is there an efficient way of doing my wish, for instance without using for loop etc. Best Ozgur -- View this message in co...

I have a data frame in wide format that I'd like to convert to long format. For example, in wide format I have: id A1B1 A1B2 A2B1 A2B2 1 1 400 475 420 510 2 2 390 500 470 472 3 3 428 512 555 610 4 4 703 787 801 822 5 5 611 634 721 705 6 6 543 522 612 788 7 7 411 488 506 623 8 8 654 644 711 795 A is one repeated-measures variable with levels 1 and 2. B is a second repeated-measures variable also with levels 1 and 2. I'd l...

...ing to convert my own similar course to R for my students for next fall. I have been successful at analyzing a segment of the data as a 2-way repeated measures design. Here is my code: > your.data=read.table(pipe("pbpaste"),header=T) > your.data partic A1B1 A1B2 A1B3 A1B4 A2B1 A2B2 A2B3 A2B4 A3B1 A3B2 A3B3 A3B4 1 p1 1 1 2 3 1 2 4 7 1 3 7 10 2 p2 2 2 3 3 2 2 5 6 2 4 6 9 3 p3 1 2 2 3 2 3 2 6 1 4 7 9 4 p4 1 1 2 2 1 2 3 6 2...

...of the linear and quadratic contrast between the levels of the within factor. Below I report the list of commands used in R ("fattA" is the beteween factor and "fB" is the within factor): > a1b1<-c(10,9,8,7) > a1b2<-c(7,6,4,5) > a1b3<-c(3,2,3,4) > a2b1<-c(9,9,8,7) > a2b2<-c(8,7,9,7) > a2b3<-c(7,8,8,6) > > M3<-matrix(0,8,4) > M3[,1]<-cbind(a1b1,a2b1) > M3[,2]<-cbind(a1b2,a2b2) > M3[,3]<-cbind(a1b3,a2b3) > M3[,4]<-rep(c(1,2),each=4) > > colnames(M3)<-c("b1","b2",...

Hi all, In preparation for teaching a class next week, I've been reviewing R's standard modelling algebra. I've used it for a long time and have a pretty good intuitive feel for how it works, but would like to understand more of the technical details. The best (online) reference I've found so far is the section in "An Introduction to R"

Hi folks, Suppose I have a series of cases each with categorical factors A, B. What is the best way to "glue" A and B together into a single factor? For example, given A0 B1 ... A1 B1 ... A0 B2 ... A1 B0 ... A0 B0 ... A1 B2 ... then I'd like to end up with a single factor with levels A0B0, A0B1, A0B2, A1B0, A1B1, A1B2 according to all the combinations which actually occur in