Hi, beginner
Do you have reproducible data? I think your question is more related to
statistical learning theory than R. You may want to watch Prof.Hastie's
webinar. http://www.stanford.edu/~hastie/lectures.htm
On Wed, Jun 5, 2013 at 10:22 AM, beginner wrote:
> I would like to compare models
Hi,
First time using the optim(), can someone please tell me what I am doing
wrong? The error looks like this
Error in .Internal(pnorm(q, mean, sd, lower.tail, log.p)) :
'sd' is missing
An example of the error
dat = c(20, 19, 9, 8, 7, 4, 3, 2)
dat_mu=mean(dat)
dat_s=sd(dat)
max.func = funct
Thanks, David. You suggestion worked very well. The par() in optim() only
takes one argument, so I combine it into a vector. Now, I will run it with
my actual code and see what happens.
Colin
--
View this message in context:
http://r.789695.n4.nabble.com/In-optim-function-parameter-in-par-miss
Hi, David
I happened to see this http://www.unc.edu/~monogan/computing/r/MLE_in_R.pdf
And they wrote optim(c(0,1),normal.lik1,y=y,method="BFGS")
But it doesn't actually work, like you mentioned, it only takes 2
parameters, is that the reason why.
R gives this error
> optim(par=parameters, normal.
Dear R experts,
I am trying to analyze data from an article, the data looks like this
Patient Age Sex Aura preCSM preFreq preIntensity postFreq postIntensity
postOutcome
1 47 F A 4 6 9 2 8 SD
2 40 F A/N 5 8 9 0 0 E
3 49 M N 5 8 9 2 6 SD
4 40 F A 5 3 10 0 0 E
5 42 F N 5 4 9 0 0 E
6 35 F N 5 8 9 12
ost
> measurement). However, given at least what I know about migraines, it
> is often a fairly chronic condition so over a relatively short time
> period, it seems implausible to conclude that as many people would be
> improving as this study reported.
>
> Cheers,
>
> Jo
&hl=en&ei=nQHJTo7LPIrf0gHxs6Aq&sa=X&oi=book_result&ct=result&resnum=2&ved=0CC0Q6AEwAQ#v=onepage&q=z-test%20with%20continuity%20correction&f=false
>
> A print source that, IIRC, has a discussion of this is "Hayes, W. (1981.
> Statistics. 3rd Ed., Holt
I am working on similar stuff. I use aov(), I didn't use any package.
And here's what I've been looking at
http://www.gardenersown.co.uk/Education/Lectures/R/anova.htm
http://www.personality-project.org/r/r.anova.html
HTH
On Sun, Dec 18, 2011 at 11:20 AM, David Winsemius wrote:
>
> On Dec 17, 201
Dear List
Is there a package for leapfrog plotting (Hamiltonian Monte Carlo
estimation) in R? I tried the actual "LEAPFrOG" package which doesn't
actually give the plot like this one?
http://xianblog.files.wordpress.com/2010/09/hamilton.jpg
How doe one plot this in R? So, there semi-circle and
I was wondering how do I actually see what's inside a function, say,
density of t distribution, dt()?
I know for some, I can type the function name inside R and the code will be
displayed. But for dt(), I get
> dt
function (x, df, ncp, log = FALSE)
{
if (missing(ncp))
.Internal(dt(x,
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