New subject: Warnings

22 Oct 2011

I did not set it as a nominal variable, since my DV is the percentage of
vote share received by the nationalist party.

On Sat, Oct 22, 2011 at 12:39 PM, Yph Lelkes &lt;ylelkes(a)stanford.edu&gt; wrote:

...
  When you imputed the data, did you set your dv in
amelia to be nominal?
 That'd would be my other guess.

 On Sat, Oct 22, 2011 at 9:37 AM, Sera Choma &lt;sera.onalan(a)gmail.com&gt; wrote:

  Hi Yph,
 No, I am not. I only set bounds before I imputed my dataset, then I just
 ran a probit model using Amelia's output. Is this why I am getting the
 errors?
 Sera

 On Sat, Oct 22, 2011 at 12:31 PM, Yph Lelkes &lt;ylelkes(a)stanford.edu&gt;wrote;wrote:

  Dear Sera,
 I'm guessing you're using weights?

 Yph

 On Sat, Oct 22, 2011 at 9:29 AM, Sera Choma &lt;sera.onalan(a)gmail.com&gt;wrote;wrote:

  Hi,

 I am getting the below warning messages from Zelig:
 Warning messages:
 1: In eval(expr, envir, enclos) :
   non-integer #successes in a binomial glm!
 2: In eval(expr, envir, enclos) :
   non-integer #successes in a binomial glm!
 3: In eval(expr, envir, enclos) :
   non-integer #successes in a binomial glm!
 4: In eval(expr, envir, enclos) :
   non-integer #successes in a binomial glm!
 5: In eval(expr, envir, enclos) :
   non-integer #successes in a binomial glm!

 Background: I am running a probit model where my dependent variable is a
 proportion between 0 and 1 (it is a percentage of votes). I used Amelia to
 overcome my missing data issues.

 I'm not sure what the warnings mean. I just want to be certain that I am
 not running an erroneous model.

 Thank you for your time and help.

 Sera

Re: [zelig] Warnings