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Recently in the SAS Community Library: SAS' @RhondaWilliams reveals how SAS Law Enforcement Intelligence helps law enforcement agencies expedite detailed data entry using the Evidence Creation feature.
Just lost my job yesterday, so looking for a new one. Also what kind of pay should I be expecting? I've got 5 years professional experience with C#/.net. I've been working on a graphics engine in vulkan as a side project, with basic pbr lighting. Worked on the graphics engine in C++. no professional C++ yet. I know GLSL and HLSL. Been working on the graphics architecture for the graphics project. Been working on it for about 4 years.
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Hi all,
I'm new in conducting LASSO selection. After reading through several online resources, I used PROC HPGENSELECT with selection method=LASSO to select covariates. But it somehow generated two sets of output. I fed in 188 covariates. The first set of output kept 155 covariates, while the second set of output that was generated at the end kept only 5 covariates. The first output has lower AIC/BIC. I wondered why the second output was generated and how I should use the two sets of output to interpret the selection results.
The code looks like below:
PROC HPGENSELECT DATA= analytic_file;
class Female(ref='0') var3(ref='0') ... var188(ref='0') ;
model success(event='1') =age Female var3 ... var188/dist=binary;
selection method=LASSO (choose=SBC stop=none) details=all;
run;
Thank you!
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I am unable to register the model as the register model tab is greyed out as shown. Would be great if I can get some help on this. I am currently using SAS Viya for Learners and am using the COMMSDATA dataset.
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Hi, How can I obtain the p-value of the ADF test, which uses AIC or BIC to determine the lag for residuals, in order to test the stationarity of the residuals of a linear regression model? The input data and model that I have: data df;
input dep ind1 ind2 ind3;
cards;
-4.66344 0.5337595 1.533904 -0.1824561
-4.27203 0.5371667 1.638746 -0.2840759
-4.31303 0.5187737 1.708084 -0.208212
-3.46126 0.501581 1.773411 0.7434088
-3.10906 0.5024615 -0.7010086 0.4447428
-2.83321 0.50575 0.7289928 0.2619768
-2.74544 0.4943883 0.7419567 0.7679318
-3.30505 0.4825768 0.7544792 0.273685
-3.28185 0.468799 0.9924411 -0.1544852
-3.54578 0.4705212 1.133435 0.6179188
;
run;
proc reg
data=df;
model dep = ind1 ind2 ind3 ;
run; Thank you!
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