Re: [R] delete selecting rows and columns

2007-03-06 Thread Kaskelma, Heikki
A one-dimensional delete might be faster:

n - 4000
m - 0.01
matr - matrix(1:(n^2), n, n)
excl_r - sample(n, m*n)
incl_r - setdiff(1:n, excl_r)
excl_c - sample(n, m*n)
incl_c - setdiff(1:n, excl_c)
system.time(matr[-excl_r, -excl_c])
system.time(
{ m4 - matr[outer(incl_r, incl_c, function(i, j) i + n*(j - 1)) ]
  dim(m4) - c(length(incl_r), length(incl_c))
}  )


Heikki Kaskelma


jastar wrote:
 
 Hi,
 I'm working with a big square matrix (15k x 15k) and I have 
 some trouble.
 I want to delete selecting rows and columns.
 I'm using something like this:
 
 sel_r=c(15,34,384,985,4302,6213)
 sel_c=c(3,151,324,3384,7985,14302)
 matrix=matrix[-sel_r,-sel_c]
 
 but it works very slow.
 Does anybody know how to make it in faster way?

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Re: [R] delete selecting rows and columns

2007-03-05 Thread jastar

I mean something like in MATLAB matrix(sel_r,:)=[]


jastar wrote:
 
 Hi,
 I'm working with a big square matrix (15k x 15k) and I have some trouble.
 I want to delete selecting rows and columns.
 I'm using something like this:
 
 sel_r=c(15,34,384,985,4302,6213)
 sel_c=c(3,151,324,3384,7985,14302)
 matrix=matrix[-sel_r,-sel_c]
 
 but it works very slow.
 Does anybody know how to make it in faster way?
 Thank's
 

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and provide commented, minimal, self-contained, reproducible code.


[R] delete selecting rows and columns

2007-02-28 Thread jastar

Hi,
I'm working with a big square matrix (15k x 15k) and I have some trouble.
I want to deleting selecting rows and columns.
I use something like this:

 sel_r=c(15,34,384,985,4302,6213)
 sel_c=c(3,151,324,3384,7985,14302)
 matrix=matrix[-sel_r,-sel_c]

but it works very slow.
Does anybody know how to make it in faster way?
Thank's
-- 
View this message in context: 
http://www.nabble.com/delete-selecting-rows-and-columns-tf3308726.html#a9203533
Sent from the R help mailing list archive at Nabble.com.

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.