similar to: stata.get labels glm()

Hello, I am trying to select the following headers from a data frame but when I try and run the command it executes halfway through and give me an error at V188 and V359. Temp <- data.frame(V4, V5, V6, V7, V8, V9, V10, V11, V12, V13, V14, V15, V16, V17, V18, V19, V20, V21, V22, V23, V24, V25, V26, V27, V28, V29, V30, V31, V32, V33, V34, V35, V36, V37, V38, V39, V40, V41, V42, V43, V44, V45,

Hi. I have a simple (I think) question My dataset have these variables: names(data) [1] "v1" "v2" "v3" "v4" "v5" "v6" "v7" "v8" "v9" "v10" "v11" "v12" "v13" "v14" "v15" "v16" "v17"

Hi R experts I'm trying to emigrate from SPSS to R, thou I have some problems whit getting R to distinguish between the different kind of missing. I want to distinguish between data that are missing because a respondent refused to answer and data that are missing because the question didn't apply to that respondent. In other words I wante to create data values where I control

hi, I have problem in following code, error is occurred. I have attached my data herewith. and my code is as following, > library(lars) Loaded lars 0.9-8 Warning message: package 'lars' was built under R version 2.12.2 > x<- read.table("D:/spring '11/james reggression/NewFeature.txt") > y<-read.table("D:/spring '11/lars/RFU.txt") > out<-

Hi, > dd <- data.frame(A=c("b","c","a"), B=3:1) > dd A B 1 b 3 2 c 2 3 a 1 > unlist(dd) A1 A2 A3 B1 B2 B3 2 3 1 3 2 1 Someone else might get something different. It all depends on the values of its 'stringsAsFactors' option: > dd2 <- data.frame(A=c("b","c","a"), B=3:1, stringsAsFactors=FALSE) > dd2

Hello, I'm new to Samba DC and I have a question regarding DNS: we have DNS and DHCP servers, DNS dynamic updates are controlled by DHCP when clients request IP addresses. There're a lot of zones in DNS and we need to create a domain in one of these zones. If I understand correctly Samba can't use external DNS, you must have DNS on the same server as Samba, either internal or bind.