Hi Jason,
The error message indicates that there was problem in estimating the gradient of
objective function. It has nothing to do with your second data point. This
could happen for a variety of reasons, but the most proximate cause of the
problem seems due to a parameter being negative during the iteration. The best
solution, most often, is to provide a better (or atleast a different) starting
value. Look at the example in the help page for "fitdistr":
fitdistr(x, dgamma, list(shape = 1, rate = 0.1), lower = 0.01)
Note that the above command specifies lower bounds on both the shape and the
rate parameter (hence a different optimziation algorithm will be used in
"optim").
Best,
Ravi.
____________________________________________________________________
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvaradhan at jhmi.edu
----- Original Message -----
From: JS.Augustyn at gmail.com
Date: Tuesday, December 23, 2008 11:27 pm
Subject: [R] Non-finite finite difference error
To: r-help at r-project.org
> Hello, I'm trying to use fitdistr() from the MASS package to fit a
> gamma
> distribution to a set of data. The data set is too large (1167
> values) to
> reproduce in an email, but the summary statistics are:
>
> Min. 1st Qu. Median Mean 3rd Qu. Max.
> 116.7 266.7 666.7 1348.0 1642.0 16720.0
>
> The call I'm trying to make is:
> fitdistr(x,"gamma")
>
> and the error is:
> Error in optim(x = c(3466.676842, 1666.749002, 2500.067852,
> 1200.053892, :
> non-finite finite-difference value [2]
> In addition: Warning message:
> In dgamma(x, shape, scale, log) : NaNs produced
>
> I found a couple of other posts from folks who were getting the same
> error
> from optim(), but did not find any useful tips for my situation. The
> error
> seems to indicate a problem with value 2 in my data set
> (1666.749002), but
> nothing seems odd about that value.
>
> I'm willing to pass along the full data set as an attachment if it
> would
> help.
>
> Thank you in advance!
>
> Jason S. Augustyn, Ph.D.
>
> [[alternative HTML version deleted]]
>
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>
> PLEASE do read the posting guide
> and provide commented, minimal, self-contained, reproducible code.