names

Probably my question is answered somewhere but I have used my searching resources before asking. I have a sample table in R : munic Gender Mun1 Mun2 female 146980 285797 male 140436 270084 When I use dimnames(sample) I get the following: > dimnames(sample) $Gender [1] "female" "male" $munic [1] "Mun1" "Mun2" And I want to create one exactly alike. So I do the following: Mat<-matrix(c(148470,24721,22829,24777,26137,43169,49613,40406,48337,34296,19492,+ 176712, 27406, 23010, 25487, 27064, 48349, 52140, 44335, 50908, 35814, 18825), nrow=2) colnames(Mat) <-c("mun_5","mun_1","mun_2","mun_3","mun_4"

I need help with something that might be fairly simple in R. I want to refer to a range of columns in a data frame (e.g., extracting a few select variables). However, I don't know their column numbers. Normally, if I wanted to extract columns 4-10 i would say mydata[,4:10]. However, given that I don't know the column numbers, I would want to refer to them by name. Is there an easy way to do this? in sas or spss it is fairly easy to refer to a range of variables by name. Alternatively, is there an easy way to figure out which column number corresponds to a variable name in R? Matt_J A column

I am trying to read a csv file with repeated row names but could not. The error message I am getting is Error in read.table(file = file, header = header, sep = sep, quote = quote, : duplicate 'row.names' are not allowed. The code I am using is: S1N657 <- read.csv("S1N657.csv",header=T,fill=T,col.names=c("dam","anim","temp")) An example of my data is given below: did <- c("1N657","1N657","1N657","1N657","1N657","1N657","1N657","1N657","1N657","1N657") aid <- c(101,102,103,104,105,106,107,108,109,110) temp <- c(36,38,37,39,35,37,36,34,39,38) data <- cbind(did,aid,temp) Any help will be

I've been doing some work with some large, complex lists lately and I've seen some behaviour which was surprising (to me, at least), mainly to do with assigning names to a list. A simple example: Fil <- list( a = list(A=seq(1, 5, 1), B=rnorm(5), C=runif(5)), b = list(A="Cat", B=c("Dog", "Bird"), C=list("Squirrel", "Cheetah", "Lion")), c = list(A=rep(TRUE, 5), B=rep(FALSE, 5), C=rep(NA, 5))) filList <- list() for(i in 1:3){ filList[i] <- Fil[i] names(filList)[i] <- names(Fil[i]) } identical(Fil,filList) [1] TRUE but: for(i in 1:3){ filList[i] <- Fil[i] names(filList[i]) <- names(Fil[i]) }

How would I go about checking if a domain name is registered? I was thinking about checking if it has a corresponding IP but it doesn't seem to work as well as I had hoped. Is there a solution in either PHP or Python that can check? Thomas "Registered" doesn't mean "assigned an IP address". To know whether a domain name is registered, you'll need to do a whois query. For Python, there's pywhois , but from its web site it seems somewhat immature. Also see this SO question . For PHP, there's... surprise... phpwhois . Mike Nott has created a simple PHP class that allows you to query the who.is

Let's say I have a data file called data.txt that looks like: TIME FX FY FZ 0 10 5 6 1 2 4 7 2 5 2 6 ... In python run: import numpy as np myData = np.genfromtxt("data.txt", names=True) >>> print myData["TIME"] [0, 1, 2] The names at the top of my data file will vary, so what I would like to do is find out what the names of my arrays in the data file are. So I would like something like: >>> print myData.names [TIME, F0, F1, F2] I thought about just to read in the data file and get the first line and parse it as a separate operation, but that doesn't seem very efficient or elegant. Try: myData

In the 3 Dimensional array bellow : ar <- array(someData, c(5, 5, 5)); rownames(ar) <- ...; #to set up row names colnames(ar) <- ...; #to set up col names How can i set the third dimension names ? You can either set the dimnames argument when defining the array: ar <- array(data = 1:27, dim = c(3, 3, 3), dimnames = list(c("a", "b", "c"), c("d", "e", "f"), c("g", "h", "i"))) and/or you can set the dimnames of the third dimension like so: dimnames(ar)[[3]] <- c("G", "H", "I") Still starting in R but I found this way that may be useful for large multidimensional array. Instead of naming each of