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02-14-2013 06:57 AM

Hi,

I need do a plot for my model in proc Mixed.

It is my final model:

**proc** **mixed** data=DatosExpIny2010 covtest;**class**** nest sex;****where**** F_Chick=1;**

And I need a plot with 95% error.

Could you tell me the correct script?

Thank you very much.

All the best

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Posted in reply to SpanishPhD

02-14-2013 10:29 AM

`And I need a plot with 95% error.`

What statistic do you need a plot of with 95% confidence limits?

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Paige Miller

Paige Miller

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Posted in reply to PaigeMiller

02-14-2013 11:04 AM

Yes, I need to make a graph that represents the model. It should be a plot for Treatment and Time, becaue they are continuous variables. Also I need it with confidence limits. Thanks!

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Posted in reply to SpanishPhD

02-14-2013 11:29 AM

As far as I can see, there is no built in plotting with PROC MIXED that makes a plot of the model.

You might want to do this through PROC GLIMMIX followed by PROC PLM with the EFFECTPLOT statement.

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Paige Miller

Paige Miller

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Posted in reply to PaigeMiller

02-14-2013 01:07 PM

Update: Looks like PROC MIXED followed by PROC PLM with the EFFECTPLOT statement might work as well, but I haven't tried it.

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Paige Miller

Paige Miller

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Posted in reply to PaigeMiller

02-14-2013 01:17 PM

It sounds great! but... how i can do it? Thanks!

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Posted in reply to SpanishPhD

02-14-2013 04:39 PM

SpanishPhD wrote:

It sounds great! but... how i can do it? Thanks!

Here's an example using PROC ORTHOREG, maybe this can get you started

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Paige Miller

Paige Miller

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Posted in reply to PaigeMiller

02-15-2013 04:11 AM

but this option does not allow me to work with random, do it?

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Posted in reply to SpanishPhD

02-15-2013 07:49 AM

As I said, it was an example.

I think you will need to use PROC MIXED or PROC GLIMMIX followed by PROC PLM, if you want to include a RANDOM statement in the model.

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Paige Miller

Paige Miller

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Posted in reply to SpanishPhD

02-14-2013 01:17 PM

If you want 95% CL for the mean predicted values, I think you can get that in an output data set. On the MODEL statement, use the OUTP= option to get an output data set. The doc says

"The L95 and U95 variables provide a *t*-type confidence interval for the predicted values, and they correspond to the L95M and U95M variables from the GLM and REG procedures for fixed-effects models. The residuals are the observed minus the predicted values."

You can then use PROC SGPLOT to plot the predicted and 95% CLM.

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Posted in reply to SpanishPhD

02-15-2013 08:46 AM

If you want to see examples of usnig PROC PLM, see the paper by Tobias and Cai (2010) : http://support.sas.com/resources/papers/proceedings10/258-2010.pdf

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Posted in reply to Rick_SAS

02-15-2013 08:54 AM

Thakns a lot!!! I will try it!!