Recently in the SAS Community Library: SAS' @Sundaresh1 highlights a sometimes overlooked task when applying document embeddings for purposes of similarity-based search. Normalisation of vectors helps obtain relevant matches.
Hello, I ran a linear mixed model with repeated measures using PROC MIXED. I used the RCORR statement to obtain the intraclass correlation coefficient (ICC) for the non-independent variable 'score' across readers. Is there a function within PROC MIXED that outputs the 95% CI and p-value for the ICC? PROC MIXED DATA=final COVTEST;
CLASS subject_id reader (REF='1');
MODEL score = reader / S CL;
REPEATED / SUBJECT=subject_id TYPE=cs R RCORR;
RUN; Thank you for your help!
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Dear All How can I calculate 95% confidence intervals for ICCs with SAS macro (%intracc) (http://support.sas.com/kb/25/031.html). I am trying to calculate ICC(2,k) but %intracc but the macro produce only ICCs but not 95% CIs. Thank you. Best regards,
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Hi SAS Optimization Community,
I’m presenting a live “Ask the Expert” webinar on May 23 rd , 11 AM – 12 PM ET entitled What’s New in SAS Optimization? I’ll show you how SAS Optimization continues to improve on its powerful modeling language with unified access to a broad suite of solvers. Bring your questions. We’ll host a live Q&A session at the end of the webinar.
You will learn about:
All the ways SAS Optimization is changing.
Recently added features, including a conic optimization solver and an automated Benders decomposition algorithm.
SAS Optimization performance improvements.
Reserve your spot for the webinar.
Want more tips? Be sure to subscribe to the Ask the Expert board to receive follow up Q&A, slides and recordings from this and other SAS Ask the Expert webinars.
Can't join the live event? You can view this and other Ask the Expert sessions on-demand here.
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Can you tell me what is wrong with this code?
*OTHER NEUROLOGICAL DISEASES; array xx $ icdx1 icdx2 icdx3; label ond="Oth neurological"; ond=0; do over xx; if xx in: ("B90", "D48", "G04", "G09", "G10", "G11", "G12", "G13", "G24", "G25", "G26", "G32", "G37", "G51", "G52", "G53", "G70", "G71", "G72", "G73", "G80", "G81", "G82", "G83", "G90", "G91", "G93", "G95", "G99", "M47", "Q00", "Q01", "Q02", "Q03", "Q04", "Q05", "Q06", "Q07", "Q76") then ond = 1; *Doing exclusions in this way does not work; if xx in: ("G130", "G131", "G251", "G254", "G256", "G510", "G732", "G733", "G734", "G838") then ond=0; end;
The first part works fine. But then when I add in the line of code under *Doing exclusions in this way does not work; I get the following error messages:
*Doing the exclusions in this way does not work; 509 if xx in: ("G130", "G131", "G251", "G254", "G256", "G510", "G732", _ 22 202 509 ! "G733", "G734", "G838") then ond=0; ERROR 22-322: Syntax error, expecting one of the following: a quoted string, a numeric constant, a datetime constant, a missing value, iterator, (.
ERROR 202-322: The option or parameter is not recognized and will be ignored.
510 end;
Please help! Thanks!
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SAS Viya Workbench is coming! Built for developers and modelers, Viya Workbench is a self-service, on-demand compute environment for analytical development, including building AI and machine learning models. We're excited about the release next month and are dedicating the June edition of the SAS Bowl to it.
Game Details
The SAS Support Community trivia event, SAS Bowl XLI, SAS Viya Workbench is scheduled for Wednesday, June 12, at 10 a.m. ET.
Register for the event and receive an invite to a Microsoft Teams meeting and a calendar event.
On game day, join the Teams meeting and access the game here.
More on SAS Viya Workbench
Build powerful models quickly and efficiently through the code-based environment. An intuitive user interface and integrations with your favorite IDEs get up up and running in minutes. Streamline your work by pulling in existing Python or SAS projects - with minimal to no code modifications needed. Boost your productivity and performance by customizing your CPU/GPU compute power to fit the needs of your project. Develop on-demand with self-provisioning and self-terminating features requiring minimal IT support. Workbench allows you to focus on creating, innovating, iterating, and testing your work through a code-based interface using Juypter Notebooks and Visual Studio Code.
Here are some resources where you can learn more and get familiar with SAS Viya Workbench.
SAS Viya Workbench home page
Press Release announcing SAS Viya Workbench
Ask the Expert Webinar on SAS Viya Workbench
SAS Viya Workbench: The Final Countdown to Launch
SAS Bowl and event details
For those who may be new to the SAS Bowl, you can find game history and specifics in this Community memo. There you'll also find links to previous events, which include recordings.
Register for the event and receive an invite with game details and a Teams meeting link. On game day, Join the TEAMS meeting to play, and show off your SAS and worldly knowledge while competing for bragging rights and SAS Community game gear.
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