Hi, I'm wondering if you can help me, this is a really simple query but I
keep getting confused. I have run a GLM to see how boldness varies over
time following a particular treatment. The results are as follows...
Call: glm(formula = boldtwentyfour ~ treatment + boldcontrol)
Deviance Residuals:
Min 1Q Median 3Q Max
-1.7577 -0.5469 0.0456 0.5515 1.5327
Coefficients: Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.8312 0.5444 1.527 0.1363
treatmentPBS 0.1391 0.2842 0.490 0.6277
boldcontrol 0.4899 0.2157 2.271 0.0298 *
Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1
(Dispersion parameter for gaussian family taken to be 0.7131691)
Null deviance: 27.243 on 35 degrees of freedom
Residual deviance: 23.535 on 33 degrees of freedom
AIC: 94.862 Number of Fisher Scoring iterations: 2
Basically, where I am having trouble is that I have several GLMs like this
and need to display the results in a table and am required to display the
intercept, estimates, 95% confidence and the errors. I am confused as to
which values are which as for the intercept there are four different values
which all seem to relate to everything else I need to report, while
everything else would go unreported. From this table of output from R can
you help me to identify which value is which?
Thanks,
Sarah.
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Interpreting the Results of GLM
2 messages · sazzle, Milan Bouchet-Valat
Le mardi 28 f?vrier 2012 ? 02:48 -0800, sazzle a ?crit :
Hi, I'm wondering if you can help me, this is a really simple query but I
keep getting confused. I have run a GLM to see how boldness varies over
time following a particular treatment. The results are as follows...
Call: glm(formula = boldtwentyfour ~ treatment + boldcontrol)
Deviance Residuals:
Min 1Q Median 3Q Max
-1.7577 -0.5469 0.0456 0.5515 1.5327
Coefficients: Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.8312 0.5444 1.527 0.1363
treatmentPBS 0.1391 0.2842 0.490 0.6277
boldcontrol 0.4899 0.2157 2.271 0.0298 *
Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1
(Dispersion parameter for gaussian family taken to be 0.7131691)
Null deviance: 27.243 on 35 degrees of freedom
Residual deviance: 23.535 on 33 degrees of freedom
AIC: 94.862 Number of Fisher Scoring iterations: 2
Basically, where I am having trouble is that I have several GLMs like this
and need to display the results in a table and am required to display the
intercept, estimates, 95% confidence and the errors. I am confused as to
which values are which as for the intercept there are four different values
which all seem to relate to everything else I need to report, while
everything else would go unreported.
I don't understand this sentence, sorry. ;-)
From this table of output from R can you help me to identify which value is which?
The values of the coefficients as estimated by the model are in the first column, "Estimate". The value of the intercept is reported the same way as the coefficients, so it's in the "Estimate" column of the "(Intercept)" row. Standard errors are reported, well, in the "Std. Error" column, for each coefficient (including the intercept). If you need the 95% confidence interval, see ?confint. Hope this helps