On Nov 28, 2012, at 11:32 AM, Kirsten Martin wrote:
> Hello all,
>
> I have a data set where the response variable is the percent cover of a
> specific plant (represented in cover classes 0,1,2,3,4,5, or 6). This data
> set has a lot of zeros (plots where the plant was not present).
> I am try
hidden email]
> Subject: [R] Conditional model in R
>
> Hello all,
>
> I have a data set where the response variable is the percent cover of a
> specific plant (represented in cover classes 0,1,2,3,4,5, or 6). This
> data
> set has a lot of zeros (plots where the plant was no
Jean,
Thank you! That is exactly the type of information I was looking for!
The script for the combined model is what I couldn't seem to come up with on
my own.
Thank you again for your help!
Sincerely,
Kirsten
--
View this message in context:
http://r.789695.n4.nabble.com/Conditional-model-i
Kirsten,
The overall model is the combination of both models. If you call the
parameter estimates from the logistic regression betas and the parameter
estimates from the linear regression alpha, you could write the predictive
equation something like this (ignoring error terms):
cover =
age-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Kirsten Martin
> Sent: Wednesday, November 28, 2012 1:33 PM
> To: r-help@r-project.org
> Subject: [R] Conditional model in R
>
> Hello all,
>
> I have a data set whe
Hello all,
I have a data set where the response variable is the percent cover of a
specific plant (represented in cover classes 0,1,2,3,4,5, or 6). This data
set has a lot of zeros (plots where the plant was not present).
I am trying to model cover class of the plant as a function of both total
6 matches
Mail list logo
