) :
cannot take a sample larger than the population
when 'replace = FALSE'
-Alex
On 11 Oct 2006, at 15:10, Brian Frappier wrote:
Hi Petr,
Thanks for your response. I have data that looks like the following:
sample 1 sample 2 sample 3
red
/06, Petr Pikal [EMAIL PROTECTED] wrote:
Hi
On 11 Oct 2006 at 12:54, Tony Plate wrote:
Date sent: Wed, 11 Oct 2006 12:54:44 -0600
From: Tony Plate [EMAIL PROTECTED]
To: Brian Frappier [EMAIL PROTECTED]
Copies to: Petr Pikal
On 10 Oct 2006 at 17:40, Brian Frappier wrote:
Date sent: Tue, 10 Oct 2006 17:40:47 -0400
From: Brian Frappier [EMAIL PROTECTED]
To: r-help@stat.math.ethz.ch
Subject:[R] rarefy a matrix of counts
Hi all,
I have a matrix
80 columns which shall be no problem.
HTH
Petr
On 11 Oct 2006 at 10:11, Brian Frappier wrote:
Date sent:Wed, 11 Oct 2006 10:11:33 -0400
From: Brian Frappier [EMAIL PROTECTED]
To: Petr Pikal [EMAIL PROTECTED]
Subject
-11 at 14:25 -0400, Brian Frappier wrote:
I tried all of the approaches below.
the problem with:
x - data.frame(matrix(NA,100,3))
for (i in 2:ncol(DF)) x[,i-1] - sample(rep(DF[,1], DF[,i]),100)
if you want result in data frame
or
x-vector(list, 3)
for (i in 2:ncol(DF)) x[[,i
Hi all,
I have a matrix of counts for objects (rows) by samples (columns). I aimed
for about 500 counts in each sample (I have about 80 samples) and would now
like to rarefy these down to 100 counts in each sample using simple random
sampling without replacement. I plan on rarefying several
