Peter Dalgaard biostat.ku.dk> writes:
[snip discussion of overrun in seq()]
> > If I don't hear otherwise I will submit this as
> > a bug to r-devel ...
> >
> It IS deliberate We discussed this when R was still in the toddler
> stages.
>
> If you don't allow slight overruns like tha
On Fri, 2008-10-03 at 15:27 -0400, Lo, Ken wrote:
> Hi all,
>
> I am running into a snag using quantile function in stats. Basically, I
> don't understand why the loop below throws the error that it does.
>
> test.data <- rnorm(1000, 0, 1)
>
> for (i in seq(0.1, 0.001, 0.1)){
> te
Ben Bolker wrote:
Lo, Ken roche.com> writes:
Hi all,
I am running into a snag using quantile function in stats. Basically, I
don't understand why the loop below throws the error that it does.
test.data <- rnorm(1000, 0, 1)
for (i in seq(0.1, 0.001, 0.1)){
test <- quantil
Hi all,
I am running into a snag using quantile function in stats. Basically, I
don't understand why the loop below throws the error that it does.
test.data <- rnorm(1000, 0, 1)
for (i in seq(0.1, 0.001, 0.1)){
test <- quantile(test.data, probs=seq(0,1,i));
print(i);
}
Lo, Ken roche.com> writes:
>
> Hi all,
>
> I am running into a snag using quantile function in stats. Basically, I
> don't understand why the loop below throws the error that it does.
>
> test.data <- rnorm(1000, 0, 1)
>
> for (i in seq(0.1, 0.001, 0.1)){
> test <- quantile(tes
Hi all,
I am running into a snag using quantile function in stats. Basically, I
don't understand why the loop below throws the error that it does.
test.data <- rnorm(1000, 0, 1)
for (i in seq(0.1, 0.001, 0.1)){
test <- quantile(test.data, probs=seq(0,1,i));
print(i);
}
6 matches
Mail list logo
