I ended up just using a vba macro for Excel. Hopefully I can start
transitioning to R for some of these tasks soon.
Thanks,
kbrownk
On Dec 20, 6:14 pm, Sarah Goslee wrote:
> > bindata <- 1:5
> > nobs <- c(2, 3, 1, 4, 3)
> > rep(bindata, times=nobs)
>
> [1] 1 1 2 2 2 3 4 4 4 4 5 5 5
>
> for the
Thanks for the heads up. I don't have a #. My data is as you suggest.
I tried to generalize my example because I'm open to reformatting for
the solution to my problem.
Thanks,
kbrownk
On Dec 20, 6:14 pm, Sarah Goslee wrote:
> > bindata <- 1:5
> > nobs <- c(2, 3, 1, 4, 3)
> > rep(bindata, times=n
> bindata <- 1:5
> nobs <- c(2, 3, 1, 4, 3)
> rep(bindata, times=nobs)
[1] 1 1 2 2 2 3 4 4 4 4 5 5 5
for the R part, and see below:
Sarah
On Tue, Dec 20, 2011 at 5:45 PM, kbrownk wrote:
> I need to measure kurtosis, skew, and maybe dip test on some
> distributions I have. Currently my data is
I need to measure kurtosis, skew, and maybe dip test on some
distributions I have. Currently my data is in the form of 2 vectors x
and y. Where x is 10 bins and y is the number of observations found in
that bin. It seems that the measures I want to run require the actual
observations laid out rathe
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