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Dear Everyone, I try to automatically manipulate the data of a variable (class = factor) like x 220 220a 221 221b B221 Into two variables (class = numeric) like x y 220 0 220 1 221 0 221 1 221 1 y has to carry the information about the class (number or string) of the former x-Variable. I could do it by hand like x[x == "220a"] <- 220

...umns involved. Selection: d[d$Var.1==9 | d$Var.1==9 | d$Var.1==9 ,] Does anybody know a way? Thanks Mit freundlichen Gr??en Andreas Kunzler ____________________________ Bundeszahn?rztekammer (BZ?K) Chausseestra?e 13 10115 Berlin Tel.: 030 40005-113 Fax: 030 40005-119 E-Mail: a.kunzler at bzaek.de

...result to a matrix but I could not find a way to use the results of tapply. I use tapply because b has 15 different values. Thanx Andreas Kunzler ____________________________ Bundeszahn?rztekammer (BZ?K) Chausseestra?e 13 10115 Berlin Tel.: 030 40005-113 Fax: 030 40005-119 E-Mail: a.kunzler at bzaek.de

...ximum number of ids within one object. In this case 3 (1|22|45) Does anybody know a better way? Thanks Mit freundlichen Gr??en Andreas Kunzler ____________________________ Bundeszahn?rztekammer (BZ?K) Chausseestra?e 13 10115 Berlin Tel.: 030 40005-113 Fax: 030 40005-119 E-Mail: a.kunzler at bzaek.de

...et with the duplicate function. But I can't find a way to control (i) and (y). subset(data, !duplicated(i[y])) Thanx so much Andreas Kunzler ____________________________ Bundeszahn?rztekammer (BZ?K) Chausseestra?e 13 10115 Berlin Tel.: 030 40005-113 Fax: 030 40005-119 E-Mail: a.kunzler at bzaek.de

Dear List, I try to order the output of a table by the frequencies of the vector I am look at. The object I am looking at is a factor with a lot of levels that were named only once. Therefore it would be much easier to order the output by the frequencies of the levels. E.g. > levels(a) "a" "b" "c" "d" Preferred outcome: table(a) b c a d 10 5 1 1

Dear List, I have Multi-level Data i= Indivitual Level g= Group Level var1= First Variable of interest var2= Second Variable of interest and I want to count the frequency of "var1" and "var2" on the group level. I found a way, but there must be a much simpler way. data.ml <- data.frame(i=c(1:8),g=as.factor(c(1,1,1,2,2,3,3,3)),var1=c(3,3,3,4,4,4,4 ,4),

Dear List, I ran into some trouble by calculating differences. For me it is important that differences are either 0 or not. So I don't understand the outcome of this calculation 865.56-(782.86+0+63.85+18.85+0) [1] -1.136868e-13 I run R version 2.71 on WinXP I could solve my problem by using round() but I would like to know the reason. Maybe someone can help me? Thanx

Dear List, I ran into some trouble handling missing values. Assume 2 vectors (numeric) including NAs a <- c(rep(seq(1,4),4),NA,NA) b <- c(sample(1:2,14,replace=T),NA,NA,1,2) I want to replace the values of vector a that are smaller than 2 and larger than 3 into NAs only in case vector b equals 1 a[b==1][a[b==1]<2 | a[b==1]>3] <- NA The following error accurse: NAs are not