Can you give more specific details about your study? In general, survival outcomes should be modeled using a procedure that is tailored to survival data, such as PROC PHREG. However, those kinds of procedures require that you have the survival (or censoring) time for each subject studied.
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@iiibbb wrote:
Is there a way to get coefficients for those lines so the confidence bands can be utilized in other graphing software or simulations?
Do you mean "Is there a way to get the confidence limits ..." instead of "coefficients"?
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@iiibbb wrote:
Follow up question.
Now that I know the path names of these librefs, is there a simple way to change the pathname? Literally all I need to do is change the Z: to a W:
Z:\2016_SLXHD\1_SAS_DATA\TOUT_DOE\DOE_LEGS
Wouldn't it just be easier to mount the new disk as Z instead of W? Then the libref definition does not need to change. Part of the reason to use mapped drives. You can change the physical drive without having to change the logical name you use to reference it.
Or are their other folders that are still on the old W drive?
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Ahh.
I feel certain I had tried this already... but it's easy.
proc sgplot data=a; styleattrs datasymbols=(circlefilled); scatter y=Y1 x=X1 / group=groupname; series y=Y2 x=X1; series y=Y3 x=X1 / lineattrs = (pattern=shortdash); series y=Y4 x=X1 / lineattrs = (pattern=shortdash); run; quit;
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PROC ROBUSTREG provides estimates of the standard errors of the predicted mean (or standard error of predicted individual values) in the OUTPUT statement (STDM or STDI options). From those you can compute whatever confidence interval or prediction interval you want.
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@iiibbb wrote:
Ah... second question answered. proc datasets library=work kill noprint; run; quit;
And putting this together with the SUBMIT command answers the first question.
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@iiibbb wrote:
What's funny is that I successfully filtered some of the formatting peculiarities imputing the data only to be stymied by this. Is there a way I could make this more generic... like if there were missing values? Could I write the code where the count might vary from group to group? Not my current problem, but I get data with missing observations all the time.
Thanks
I think this question would warrant a new thread. Reference this one by copy and paste the URL. Provide a different start data and the desired result, best would be as data steps. Only paste as many variables and records needed to demonstrate the actual issue.
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If they are both numeric (date, time and datetime values are numbers) then there is no need to convert anything. Just make sure to apply the format you want in the resulting merged dataset so that humans can understand the values when they are printed.
data want ;
merge not_formatted formatted ;
by sas_dt ;
format sas_dt datetime20. ;
run;
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I have the same problem for SAS 9.4 1M4. I followed the instructions in the link you provided and rename the file. In addition, open C:\Program Files\SASHome\sassw.cfg , replace all "Program Files" with "PROGRA~1", because the blank in between will cause trouble in java compiler. for reference https://support.sas.com/kb/17/004.html then open C:\Program Files\SASHome\SASFoundation\9.4\nls\en\sasv9.cfg, and replace -SET SASROOT "C:\Program Files\SASHome\SASFoudation\9.4" -SET SASHOME "C:\Program Files\SASHome" with -SET SASROOT "C:\PROGRA~1\SASHome\SASFOU~1\9.4" -SET SASHOME "C:\PROGRA~1\SASHome" restart SAS session, and the problem fixed!
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In 9.4M3 it was replaced by functionality in the SAS Deployment Manager
http://support.sas.com/documentation/installcenter/en/ikwinbasicri/66608/PDF/default/setinit_basic.pdf
Describes the different steps for each version.
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Ahh... that was a brain lapse for me. I saw that in the format page and was thinking of something entirely different. Sorry for such an obvious question.
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There is more to standard SQL than select statements. Check out delete, insert and update statements.
SAS additions are dateset options, as you mentioned, macro variable creation (select ... into :macrovar), and SAS functions (including powerful date, text distance, text matching, and user defined FCMP functions).
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