peter dalgaard gmail.com> writes:
> On Apr 16, 2013, at 22:20 , Noah Silverman wrote:
>
> > My challenge here is finding the right model for this data.
> Originally it was a nice count of students. Relatively easy to
> model with a zero inflated Poisson model. The resulting residuals
> seeme
On Apr 16, 2013, at 22:20 , Noah Silverman wrote:
> @Duncan, You make a very good point. Somehow I overlooked that 0 is not
> positive. I guess that rules out the log normal model.
>
> My challenge here is finding the right model for this data. Originally it
> was a nice count of students.
Noah,
You might want to look at beta regression, using the betareg package on CRAN.
There is a JSS paper here that you might find helpful:
http://www.jstatsoft.org/v34/i02/paper
along with the vignettes for the package:
http://cran.r-project.org/web/packages/betareg/vignettes/betareg.pdf
@Duncan, You make a very good point. Somehow I overlooked that 0 is not
positive. I guess that rules out the log normal model.
My challenge here is finding the right model for this data. Originally it was
a nice count of students. Relatively easy to model with a zero inflated
Poisson model
On Wed, Apr 17, 2013 at 5:19 AM, Noah Silverman wrote:
> Hi,
>
> I have some data, that when plotted looks very close to a log-normal
> distribution. My goal is to build a regression model to test how this
> variable responds to several independent variables.
>
[snip]
When I try to build a sim
On 16/04/2013 1:19 PM, Noah Silverman wrote:
Hi,
I have some data, that when plotted looks very close to a log-normal
distribution. My goal is to build a regression model to test how this variable
responds to several independent variables.
To do this, I want to use the fitdistr tool from the
Hi,
I have some data, that when plotted looks very close to a log-normal
distribution. My goal is to build a regression model to test how this variable
responds to several independent variables.
To do this, I want to use the fitdistr tool from the MASS package to see how
well my data fits t
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