I've been using Proc Factor to undertake common factor analysis of a large dataset.  But the results have been plagued with Heywood cases.  I've done some reading that suggests a method called Regularized Common Factor Analysis (RCFA) can help in these cases. But it's not clear to me exactly what this is nor how or even whether this can be accomplished with Proc Factor or some other SAS Proc.  I'm looking for some guidance on how to proceed or where to find further information.   Thanks in advance, Gene ... View more

In our last series, we started off by analyzing human actions to identify and classify specific actions. In this post we will recreate the similar steps to achieve the same goal, which is to identify the human actions correctly and accurately from our dataset. For context of the post there will be time that names of the dataset will change, but once our image dimensions have been finalized our dataset names (test_out, train_out) will be consistent for the remainder of the post. ... View more

SAS Cloud Analytics Services (CAS) is a powerful analytic engine in the SAS Viya platform, providing a run-time environment for data management and analytics. For this reason, you might want to enable access to CAS also for clients running outside the SAS Viya cluster.   This series shows you how to enable external access to CAS by applying core connectivity principles: a valid network route, proper DNS resolution, and trusted TLS certificates.   Across three posts, you’ll go from understanding the model to implementing cloud‑friendly automation and on‑prem‑friendly manual steps, including practical configuration examples.   Let’s start with the basics. As an analyst or developer, how can you connect to CAS in a default SAS Viya environment? Why, and how, would an administrator enable additional external connectivity?   You can find answers to these questions in multiple sources, from the official documentation, to a similarly focused article written a few years ago by Gilles Chrzaszcz: SAS Viya – Access CAS from Outside the Viya Deployment.   With this series, we want to build and expand on these sources, starting with the default CAS configuration, to show you the three essential requirements for successful external access: a working network route, correct DNS resolution, and trusted TLS certificates. This will set the stage for the more practical hands‑on patterns covered in the next articles. You will also see how to easily troubleshoot connection issues, avoiding any “magic box” confusion. ... View more

Is this your first time using statistical procedures within SAS software? Are you new to statistics in general? Has it been a while since your last statistics course? Need a review of the multitude of statistical procedures found in SAS? If you answer yes to any of these questions, then this series is for you. In part 1, we discussed aspects of exploring and describing continuous variables. We investigated PROC SGPLOT, MEANS, UNIVARIATE, and CORR. In part 2, our discussion turned to the modeling aspects of continuous variables. Our focus was on PROC REG, GLM, GLMSELECT, and PLM. In part 3, we took our analysis to categorical variables. Specifically, we discussed procedures that allow us to investigate and explore any categorical variables in our data. In part 4, we discussed modeling categorical variables using the popular procedure PROC LOGISTIC.   Previous posts have directed attention to statistical procedures utilizing SAS code. Now, let’s take a slight turn and explore utilizing these procedures but through graphical user interface options within SAS Viya. Let’s revisit some of the items from Part 1 while using SAS Visual Analytics. ... View more

Hi folks,   I am running this linear mixed-effect model, where I am outputting random effects using SolutionR:   ods  output SolutionR=BLUPs_idno; proc mixed data=trial;   class idno  sex;   model cognition = time brainvol WMH FA icv AGE sex / s;   random int time / subject=idno type=un solution;   run;   When I look at the contents of SolutionR, I observe the following variables:    Alphabetic List of Variables and Attributes DF Num 8 BEST4.   Effect Char 9     Estimate Num 8 D8.4   Probt Num 8 PVALUE6.4 Pr > |t| StdErrPred Num 8 D8.4 Std Err Pred idno Num 8 BEST. PARTICIPANT ID NUMBER tValue Num 8 7.2 t Value   I am interested in obtaining the Random Slope for time per individual (as specified in the model). So, I am wondering if the "Estimate" value from this SolutionR, IS indeed the random slope per person?   OR   if the "Estimate" corresponds to the random errors, and in order to obtain the random slopes I should sum this value to the fixed effect I obtain in the Solution of Fixed effects.    The mean i obtained for the estimate of the slope is 0 and the SD= 0.00631836. Which made me think I must add the value of the estimate for TIME as a fixed effect to get the random slope per person. Is this correct? OR is the "Estimate" directly the random slope per person?   Thanks!   ... View more