In R, is there a function like read.csv that reads in files where the headers are on the left (or right) as opposed to the top and the data is organized from le
Let's say your file is called 'data.csv' and it contains:
var1,1,2,3,4,5,6
var2,2.1,3.9,4.6,5.2,6.1
var3,M,F,M,F,M,M
Note var1 and var3 have 6 values but var2 has only 5.
So, the idea is to read the data, transpose it and then use read.csv.
read.tcsv = function(file, header=TRUE, sep=",", ...) {
n = max(count.fields(file, sep=sep), na.rm=TRUE)
x = readLines(file)
.splitvar = function(x, sep, n) {
var = unlist(strsplit(x, split=sep))
length(var) = n
return(var)
}
x = do.call(cbind, lapply(x, .splitvar, sep=sep, n=n))
x = apply(x, 1, paste, collapse=sep)
out = read.csv(text=x, sep=sep, header=header, ...)
return(out)
}
Then, you can do:
read.tcsv("data.csv")
var1 var2 var3
1 1 2.1 M
2 2 3.9 F
3 3 4.6 M
4 4 5.2 F
5 5 6.1 M
6 6 NA M