Dear all,
I have a collection of 5000 entries which represent the evolutionary
rates of 3 animals.
I would like to show the differences between the rates of all 3
animals and have tried using the function parallel (from the lattice
package) and pairs() function.
The parallel function
( ~ mat3[1:3]|model , mat3,varnames = c(human\ndnds, mouse
\ndnds, chicken\ndnds) )
so very sorry to clog up your inboxes,
tania
On 3 Oct 2008, at 15:17, Tania Oh wrote:
Dear all,
I have a collection of 5000 entries which represent the evolutionary
rates of 3 animals.
I would like to show
wishes,
tania
On 22 Apr 2008, at 19:29, John Kane wrote:
You might want to have a look at the merge_all
function in the reshape package.
--- Tania Oh [EMAIL PROTECTED] wrote:
Dear all,
I want to read in 1000 files which contain varying
number of columns.
For example:
file[1] contains 8
Dear all,
I want to read in 1000 files which contain varying number of columns.
For example:
file[1] contains 8 columns (mixture of characters and numbers)
file[2] contains 16 columns etc
I'm reading everything into one big data frame and when I try rbind, R
returns an error of
Error in
tania
On 22 Apr 2008, at 14:12, Ingmar Visser wrote:
you may be looking for ?merge
hth, Ingmar
On 22 Apr 2008, at 15:05, Tania Oh wrote:
Dear all,
I want to read in 1000 files which contain varying number of columns.
For example:
file[1] contains 8 columns (mixture of characters
Dear all,
I used which to obtain a subset of values from my data.frame.
however, I find that there is a trace of the values I have removed.
Any suggestions would be greatly appreciate.
Below is my data:
d - data.frame( val = 1:10,
group = sample(LETTERS[1:5], 10,
if I've missed something.
thanks so much in advance again.
tania
On 14 Apr 2008, at 12:39, Uwe Ligges wrote:
Tania Oh wrote:
Dear all,
I used which to obtain a subset of values from my data.frame.
however, I find that there is a trace of the values I have
removed. Any suggestions
Dear All,
I do apologise if this question is out of place for this list but I've
tried searching mailing lists and read Introductory Statistics with
R by Peter Dalgaard, but couldn't find any hints on solving my
question below:
I have a data frame (d) of values which I will rank in
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