On 2012-03-19 07:35, S Ellison wrote:
-Original Message-
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of Georgiana May
Sent: 19 March 2012 14:06
To: r-help@r-project.org
Subject: [R] regression with proportion data
I understand that the binomial f
> -Original Message-
> From: r-help-boun...@r-project.org
> [mailto:r-help-boun...@r-project.org] On Behalf Of Georgiana May
> Sent: 19 March 2012 14:06
> To: r-help@r-project.org
> Subject: [R] regression with proportion data
>
> I understand that the binomial function concerns succes
Hi Georgiana,
Take a look at the betareg package at
http://cran.r-project.org/web/packages/betareg/index.html
HTH,
Jorge.-
On Mon, Mar 19, 2012 at 10:05 AM, Georgiana May <> wrote:
> Hello,
> I want to determine the regression relationship between a proportion (y)
> and a continuous variable (
Your response variable is not binomial, it's a proportion.
Try the betareg function in the betareg package, which more correctly assumes
that your response variable is Beta distributed (but beware that 1 and 0 are
not allowed). The syntax is the same as in a glm.
HTH
Ruben
-Mensaje origina
The logit link requires a binary response variable, not a proportion. Better
bet is a beta regression. You can also do some stuff with linear regression if
you do some transformations, but linear regression assumes the outcome is any
number on the real number line bounded between -Inf and Inf.
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