Awesome! Thanks so much!

On Thu, Feb 10, 2011 at 6:13 PM, Dennis Murphy <djmu...@gmail.com> wrote:

> Hi:
>
> Try
> summary(myprobit)$coefficients[, 4]
>
> HTH,
> Dennis
>
> On Thu, Feb 10, 2011 at 3:46 PM, Allie818 <alice...@gmail.com> wrote:
>
>>
>> I can get this summary of a model that I am running:
>>
>> summary(myprobit)
>>
>> Call:
>> glm(formula = Response_Slot ~ trial_no, family = binomial(link =
>> "probit"),
>>    data = neg_data, na.action = na.pass)
>>
>> Deviance Residuals:
>>    Min       1Q   Median       3Q      Max
>> -0.9528  -0.8934  -0.8418   1.4420   1.6026
>>
>> Coefficients:
>>             Estimate Std. Error z value Pr(>|z|)
>> (Intercept) -0.340528   0.371201  -0.917    0.359
>> trial_no    -0.005032   0.012809  -0.393    0.694
>>
>> (Dispersion parameter for binomial family taken to be 1)
>>
>>    Null deviance: 62.687  on 49  degrees of freedom
>> Residual deviance: 62.530  on 48  degrees of freedom
>> AIC: 66.53
>>
>> Number of Fisher Scoring iterations: 4
>>
>> But I would like to get the p-value [column heading Pr(>|z|)] for the
>> esimate.
>> I can get the coefficient estimates with myprobit$coefficients. Is there
>> something similar to get the p-value?
>>
>> Thank you in advance.
>> --
>> View this message in context:
>> http://r.789695.n4.nabble.com/Getting-p-value-from-summary-output-tp3300503p3300503.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
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>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>

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