I want to delete the header from a dataframe that I have. I read in the data from a csv file then I transposed it, but it created a new header that is the name of the file a
As already mentioned not having column names just isn't something that is going to happen with a data frame, but I'm kind of guessing that you don't care so much if they are there you just don't want to see them when you print your data frame? If so, you can write a new print function to get around that, like so:
> dat <- data.frame(var1=c("A","B","C"),var2=rnorm(3),var3=rnorm(3))
> print(dat)
var1 var2 var3
1 A 1.2771777 -0.5726623
2 B -1.5000047 1.3249348
3 C 0.1989117 -1.4016253
> ncol.print <- function(dat) print(matrix(as.matrix(dat),ncol=ncol(dat),dimnames=NULL),quote=F)
> ncol.print(dat)
[,1] [,2] [,3]
[1,] A 1.2771777 -0.5726623
[2,] B -1.5000047 1.3249348
[3,] C 0.1989117 -1.4016253
Your other option it set your variable names to unique amounts of whitespace, for example:
> names(dat) <- c(" ", " ", " ")
> dat
1 A 1.2771777 -0.5726623
2 B -1.5000047 1.3249348
3 C 0.1989117 -1.4016253
You can also write a function do this:
> blank.names <- function(dat){
+ for(i in 1:ncol(dat)){
+ names(dat)[i] <- paste(rep(" ",i),collapse="")
+ }
+ return(dat)
+ }
> dat <- data.frame(var1=c("A","B","C"),var2=rnorm(3),var3=rnorm(3))
> dat
var1 var2 var3
1 A -1.01230289 1.2740237
2 B -0.13855777 0.4689117
3 C -0.09703034 -0.4321877
> blank.names(dat)
1 A -1.01230289 1.2740237
2 B -0.13855777 0.4689117
3 C -0.09703034 -0.4321877
But generally I don't think any of this should be done.