You can always make a loop (V1 corresponds to column
1, etc.) but as.matrix() is simpler, i.e. in your case
data.matrix <- as.matrix(data)
--- Andre Jung <[EMAIL PROTECTED]> wrote:
> I just got stuck with a quite simple question. I've
> just read in an
> ASCII table from a plain text file with
Hi Andre,
I don't quite understand what you are trying to do. Why you are using
cbind to join columns of a dataset that it is already in table form? It
is true that read.table will give you a data.frame instead of a matrix,
but if for some reason you need a matrix you can do simply
data.matr
Andre Jung wrote:
> I just got stuck with a quite simple question. I've just read in an
> ASCII table from a plain text file with read.table(). It's a 1200x1200
> table. R has assigned variables for each column: V1,V2,V3,V4,...
> For small data sets
>
> data <- read.table("data.txt");
> data.matrix
I just got stuck with a quite simple question. I've just read in an
ASCII table from a plain text file with read.table(). It's a 1200x1200
table. R has assigned variables for each column: V1,V2,V3,V4,...
For small data sets
data <- read.table("data.txt");
data.matrix <- cbind(V1,V2,V3);
works.
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