On Tue, 8 May 2007, Victor Gravenholt wrote:
As a part of a simulation, I need to sample from a large vector repeatedly.
For some reason sample() builds up the memory usage ( 500 MB for this
example) when used inside a for loop as illustrated here:
X - 1:10
P - runif(10)
for(i in
On 11-Mar-05 Martin C. Martin wrote:
hist is lumping things together.
Try:
sum(temp == 0)
compare to the height of the left most bar.
Is this a bug in hist?
- Martin
Well, not a bug strictly speaking since it works as documented,
but I do think it's not necessarily a happy choice.
hist is lumping things together.
Try:
sum(temp == 0)
compare to the height of the left most bar.
Is this a bug in hist?
- Martin
mirage sell wrote:
Hi everyone, I need help.
I want to have a uniform kind distribution. When I used sample
function I got almost twice many zeros compared to other
It's not the simulated data, but how hist() handled it. If you use
truehist() in the MASS package, you don't see the problem. Nor would you
see it like this:
table(temp)/length(temp)
temp
0 1 2 3 4 5 6 7 8 9 10
11
0.0745 0.0745 0.0830
On Thu, 10 Mar 2005, mirage sell wrote:
Hi everyone, I need help.
I want to have a uniform kind distribution. When I used sample function I
got almost twice many zeros compared to other numbers. What's wrong with my
command ?
Nothing is wrong with your sampling, it is the display in the
On Thu, 10 Mar 2005, Martin C. Martin wrote:
hist is lumping things together.
Try:
sum(temp == 0)
compare to the height of the left most bar.
Is this a bug in hist?
No, hist is the wrong thing to use to display this data.
Try
temp -sample(0:12, 2000, replace=T,prob=(rep(1/13,13)))
On Thu, 2005-03-10 at 20:54 -0600, mirage sell wrote:
Hi everyone, I need help.
I want to have a uniform kind distribution. When I used sample function I
got almost twice many zeros compared to other numbers. What's wrong with my
command ?
temp -sample(0:12, 2000,
R is not S-PLUS, and you need Modern Applied Statistics in S (4th ed) for a
description including R.
sample in R used a PRNG: see ?RNG in R for the details of PRNGs in R.
On Fri, 27 Jun 2003, [iso-8859-1] Ramzi Feghali wrote:
i have a question about the sample function used in R, does it work
