[R] Getting p-value from summary output

Dennis Murphy
Fri, 11 Feb 2011 02:13:13 -0000

Hi:

Try
summary(myprobit)$coefficients[, 4]

HTH,
Dennis

On Thu, Feb 10, 2011 at 3:46 PM, Allie818 <alice.ly@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:
>
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>
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