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