On Sun, 13 Jul 2008, Juliet Hannah wrote:
I was not able to follow the solution posted. Could you demonstrate
this technique on an example
data set. Thanks!
dat <- data.frame(a = letters[1:3], b = LETTERS[1:3], c = 1:3, d = 3:1)
Using your example:
dat <- data.frame(a = letters[1:3], b = LE
I was not able to follow the solution posted. Could you demonstrate
this technique on an example
data set. Thanks!
dat <- data.frame(a = letters[1:3], b = LETTERS[1:3], c = 1:3, d = 3:1)
On Wed, Jul 2, 2008 at 1:13 PM, Charles C. Berry <[EMAIL PROTECTED]> wrote:
> On Wed, 2 Jul 2008, Ben Tupper w
On Wed, 2 Jul 2008, Ben Tupper wrote:
On Jul 2, 2008, at 6:53 AM, Philip James Smith wrote:
Hi R people:
I have huge files with as many as 5000 columns. I'd really like to read
only certain columns of those files. I know column names I want to read.
I looked at the documentation of read.c
On Jul 2, 2008, at 6:53 AM, Philip James Smith wrote:
Hi R people:
I have huge files with as many as 5000 columns. I'd really like to
read only certain columns of those files. I know column names I
want to read.
I looked at the documentation of read.csv . Although there is a
col.names
Hi R people:
I have huge files with as many as 5000 columns. I'd really like to read
only certain columns of those files. I know column names I want to read.
I looked at the documentation of read.csv . Although there is a
col.names option, it allows users to specify the names of the columns,
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