Strengthen your programming skills with tips and techniques from the experts
Using college football recruiting and talent data as an example, let's see how DuckDB’s flexibility and SAS integration streamline complex transformations and queries.
In univariate data analysis, the median is often used as an alternative to the mean because the mean is sensitive to outliers in the data, whereas the median is a robust statistic. For higher-dimensional data, the mean and the centroid are both used to represent the "center" of a cloud
Getting Started with Job Scheduling in SAS Viya If you have ever had to manually trigger Viya jobs, you know the drill: it is tedious, and one forgotten click can throw everything off. That is where SAS Viya job scheduling comes in. It lets you automate your programs, data loads,
Recently, a colleague struggled to find the source of a run-time error happening somewhere within a very large library of SAS IML function modules. Since the error happens at run time, I told my colleague about how to find the location of a run time error by reading the traceback
In some applications, it is useful to permute the rows or the columns of a matrix. A previous article discusses how random permutation of columns (within each row) are useful in constructing permutation tests. This article shows a simpler situation: Permuting the rows of a matrix to change their order.
It is difficult to evaluate high-dimensional integrals. One numerical technique that can be useful is quasi-Monte Carlo integration. In this article, I show how you can generate quasirandom points in SAS and use them to evaluate a definite integral on a compact region. For simplicity, the example in this article
A previous article shows how to convert a positive integer from base 10 to any other arbitrary base. For example, 15 (base 10) = 120 (base 3) because 15 = 1*32 + 2*31 + 0*30. Representing integers is probably familiar to many readers. But did you know that you can
While many applications of Monte Carlo techniques use pseudorandom numbers, some applications that involve integrals are more accurate when you use quasirandom numbers, which, despite their names, are not random but are deterministic sequences of numbers. Many of these sequences are constructed by representing base-10 numbers in a different base.
A previous article discusses various ways to overlay a density curve on a histogram in SAS. SAS provides several procedures that handle this task for common univariate probability distributions such as normal, lognormal, and gamma. If you define and use a less common distribution, you can write a GTL template
SAS has several procedures that can fit a probability distribution to data, plot a histogram, and overlay one or more density estimates: PROC UNIVARIATE in Base SAS enables you to overlay parametric density curves from about 20 common continuous probability distributions, such as normal, lognormal, and gamma. It also enables
Learn how to use SAS code (PROC HTTP) to read and write files from your Microsoft OneDrive, Microsoft Teams or SharePoint Online. You'll learn how to create a Microsoft Office 365 app, connect to it with SAS, and automate the integration with your office productivity environment.
The power method is a well-known iterative scheme to approximate the largest eigenvalue (in absolute value) of a symmetric matrix. It is useful in practice when you need only the largest eigenvalue and eigenvector of a large matrix. The method requires only matrix-vector multiplication and vector scaling. There is a
Learn how to seamlessly register and deploy Python models (specifically an XGBoost classifier) into SAS Model Manager using SAS Viya Workbench and the pzmm package, enabling efficient ModelOps integration and production readiness.
When I encounter a new function, I usually graph it to gain intuition about how the function transforms its inputs. Recently, I needed to use the Rayleigh quotient function, which is connected to the estimation of eigenvalues and eigenvectors for symmetric matrices. It has been several years since I last
Hoy en dia, donde la inteligencia artificial (IA) se ha convertido en una aliada cotidiana para desarrolladores y programadores, resulta tentador delegar gran parte del trabajo técnico a estas herramientas. Plataformas como GitHub Copilot, ChatGPT, y asistentes de código automatizado prometen acelerar el desarrollo, generar soluciones en segundos y hasta
The new school year had barely started when I got a call from a friend who is an elementary school principal. She told me that every morning she announces the names of students who are celebrating a birthday. "One student noticed that we've already had two days on which no
In probability and statistics, special numbers are used to compute probabilities by counting the number of ways certain events can occur. The most famous are combinations and permutations. Both are used to count the ways to arrange or select items from a set. If a set contains n elements: A
In data analysis, sometimes we need to perform a preliminary task before we can analyze data. Often the task needs to be performed only once per session. For example, you might need to download or merge data prior to your analysis. Or you might need to define or load a
SAS supports more than 25 common probability distributions for the PDF, CDF, QUANTILE, and RAND functions. If you need a less-common distribution, you can implement new distributions by using Base SAS (specifically, PROC FCMP) or the SAS/IML language. On the SAS Support Communities, a SAS programmer asked how to implement
A previous article discusses Cohen's d statistic and how to compute it in SAS. For a two-sample independent design, Cohen's d estimates the standardized mean difference (SMD). Because Cohen's d is a biased statistic, the previous article also computes Hedges' g, which is an unbiased estimate of the SMD. Lastly,
What is Cohen's d statistic and how is it used? How can you compute it in SAS? This article gives some history behind Cohen's d statistic. It shows how to compute the statistic in SAS for the difference in means between two independent samples. It shows how to estimate a
SAS Hackathon 2025が間もなく開幕 公式サイトはこちら☞ https://www.sas.com/sas/events/hackathon.html はじめに 課題、テーマや使用データ 課題やテーマ、使用データは参加者ご自身で準備いただきます 2023年の日本からの参加チームは、オープンデータを使用したチーム、普段の自社内の取り組みプロジェクトのデータを使用したチームなどがありました 分析環境や、専門スキルの支援などはSAS側で用意されます コミュニケーションに使用する言語 日本からの参加者をサポートするメンターはSAS Japanから日本語を話す社員が担当する予定ですが、エキスパートや他の参加者との交流は英語になります 成果物に使用する言語 成果物（プレゼン動画やプレゼン資料、アプリケーションなど）は英語になります。昨年の日本からの参加チームはそれぞれ、英語でのプレゼン、無音声英語文字のみのプレゼン、英語機械音声など様々な方法で対応されました 作業場所 オンラインでの約１か月間の作業なので、作業場所は、参加チームそれぞれで確保いただきます 2025 キックオフイベントの様子 ソーシャル メディア プラットフォーム経由で視聴する LinkedIn☞https://www.linkedin.com/events/7333469635326984193/ Youtube☞https://www.youtube.com/live/yp008_MVfF4 SAS Hackathonとは 好奇心は私たちの規範です 素晴らしいアイデアは、どこからでも誰からでも生まれます。さまざまな地域から、さまざまな背景やスキルレベルを持つデータ愛好家が集まると、驚くべきことが起こります。これらの優れた頭脳は、私たちの日常生活、ビジネスのやり方、人道的活動への取り組み方を変えるような新しいものを発明するでしょう。好奇心旺盛な頭脳が協力し合うと、世界が勝利するからです。 特長 仲間のプログラマーと協力する 経験豊富なデータ サイエンティストから初心者の技術者、パートナー、SAS エキスパートまで、誰もがクラウド上の SAS® Viya でオープン ソースを使用します。 無料の学習リソースを活用する トレーニング コースや仮想学習ラボを利用して、AI、クラウド環境、業界に関するコーチングを活用できます。 新しいテクノロジーを簡単に試すことができる SAS ハッカソンは、SAS ユーザーだけでなく、初心者や新規参入者の好奇心を刺激します。Python と R の専門知識を持つオープンソース プログラマーでも、そのスキルを SAS Viya
SAS provides procedures to fit common probability distributions to sample data. You can use PROC UNIVARIATE in Base SAS or PROC SEVERITY in SAS/ETS software to estimate the distribution parameters for approximately 20 common distributions, including normal, lognormal, beta, gamma, and Weibull. Since there are infinitely many distributions, you may
Many common probability distributions contain terms that increase or decrease quickly, such as the exponential function and factorials. The numerical evaluation of these quantities can result in numerical overflow (or underflow). This is why we often work on the logarithmic scale: on the log-scale, the numerical computations for equations such
Learn how to modernize legacy SAS workflows by integrating Python and automating processes using GitHub Actions and SAS Viya Workbench, enabling seamless collaboration and CI/CD across development environments.
Suppose you measure data weekly. According to the ISO standard, weeks are measured in the range 1-53, where most years have 52 weeks, but occasionally there is a "leap week." (The WEEK function in SAS implements the ISO standard to find the week-of-the-year for any date.) The heat map to
A practical guide to SAS Procedures in Viya 4, introducing their purpose, showcasing real-world examples, and highlighting a new downloadable cheat sheet that simplifies navigation across SAS’s advanced analytics portfolio.
Dating can be a challenge. No, I'm not talking about the process of finding a soulmate. I'm talking about managing days, weeks, months, and years in statistical analyses and reports! One challenge is how to number the weeks of the year. Because there are seven days in a week, 52
My colleague Rick Wicklin maintains a nifty chart that shows the timeline of SAS releases since Version 8. A few of you asked if I could post a similar chart for SAS Enterprise Guide. Here it is. Like Rick, I used new features in SAS 9.4 to produce this chart
How I collected birdsong detection data from BirdNET-PI and used SAS to visualize the bird visits across the seasons.
