Strengthen your programming skills with tips and techniques from the experts
SAS Visual Anaytics(이하, VA)를 사용할 때, 리포트의 형태를 고정하고 변수만 변경하면서 그래프 및 값들이 바뀌는 결과를 확인할 수 있으면 더 효율적이지 않을까 생각해 본 적이 있으신가요? VA에서 파라미터를 활용하면 가능합니다. 파라미터의 활용법을 다루기 전에 전반적인 이해를 돕고자 파라미터가 무엇인지, 어떻게 사용하는 것인지 등에 대한 내용을 먼저 살펴보고자 합니다. 이번 블로그
Appending data tables is a common task for data analysis. Here are three of the several methods possible through the SAS Viya platform.
In several previous articles, I've shown how to use SAS to fit models to data by using maximum likelihood estimation (MLE). However, I have not previously shown how to obtain standard errors for the estimates. This article combines two previous articles to show how to obtain MLE estimates and the
A previous article shows how to use Monte Carlo simulation to approximate the sampling distribution of the sample mean and sample median. When x ~ N(0,1) are normal data, the sample mean is also normal, and there are simple formulas for the expected value and the standard error of the
Welcome back to my SAS Users blog series CAS Action! - a series on fundamentals. In this post, I'll show how to create user defined functions (UDFs) for the distributed CAS server using SAS and CASL code. Once the UDF is created, you can use it on the CAS server with programming
An elementary course in statistics often includes a discussion of the sampling distribution of a statistic. The canonical example is the sampling distribution of the sample mean. For samples of size n that are drawn from a normally distribution (X ~ N(μ, σ)), the sample mean is normally distributed as
A previous article discusses the birthday problem and its generalizations. The classic birthday problem asks, "In a room that contains N people, what is the probability that two or more people share a birthday?" The probability is much higher than you might think. For example, in a room that contains
In the second of a two-part series, SAS' Cindy Wang reveals how to create a custom graph template in SAS Graph Builder that can be rendered as a radar chart in SAS Visual Analytics.
The birthday-matching problem (also called the birthday paradox or simply the birthday problem), is a classic problem in probability. Simply stated, the birthday-matching problem asks, "If there are N people in a room, what is the chance that two of them have the same birthday?" The problem is sometimes called
지난 포스팅(컴퓨터가 사물을 보는 방법 1편, 2편)에서는 CNN(Convolution Neural Network)에서 사용될 수 있는 다양한 기법들과 함께 CNN의 학습이 어떤 방식으로 이루어지는지 알아보았습니다. CNN은 데이터(특히 이미지 데이터)에 합성곱, 풀링, 패딩 등의 작업을 거쳐 특징을 추출한 후 회귀 또는 분류를 수행하는 딥러닝 모델입니다. 오늘 포스팅에서는 지금까지 배운 기법들을 SAS Viya에서 구현하는 실습을
In the first of a two-part series, SAS' Cindy Wang shows you how to create a radar chart in SAS Visual Analytics using custom graph capabilities.
Recently I wrote about numerical analysis problem: the accurate computation of log(1+x) when x is close to 0. A naive computation of log(1+x) loses accuracy if you call the LOG function, which is why the SAS language provides the built-in LOG1PX for this computation. In addition, I showed that you
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll show how to create user defined functions (UDFs) for the distributed CAS server using the SWAT package. Once the UDF is created you can use it on the CAS server with programming
SAS supports a special function for the accurate evaluation of log(1+x) when x is near 0. The LOG1PX function is useful because a naive computation of log(1+x) loses accuracy when x is near 0. This article demonstrates two general approximation techniques that are often used in numerical analysis: the Taylor
SAS는 2020년 1월, LTS 2020.1 버전의 SAS Viya 4를 출시했습니다. SAS Viya 4는 기존 SAS의 솔루션인 SAS 9, SAS Viya 3.5 버전과는 달리 완전한 클라우드 네이티브 버전의 솔루션입니다. 오늘 포스팅에서는 클라우드 네이티브 SAS Viya 4의 서비스인 CAS(Cloud Analytics Service, 이하 CAS)의 라이프 사이클에 대해서 알아보겠습니다. 1. CAS란 무엇일까요? CAS는 고성능
The documentation for Python's SciPy package provides a table that concisely summarizes functions that are associated with continuous probability distributions. This article provides a similar table for SAS functions. For more information on the CDF, PDF, quantile, and random-variate functions, see "Four essential functions for statistical programmers." SAS functions for
A previous article shows ways to perform efficient BY-group processing in the SAS IML language. BY-group processing is a SAS-ism for what other languages call group processing or subgroup processing. The main idea is that the data set contains several discrete variables such as sex, race, education level, and so
Just coming in from an AP news source, here's your situation: At your company, you have both a SAS 9 and a SAS Viya Environment. And your problem: You want to migrate your scheduling jobs which are SAS programs from SAS 9 to a SAS Viya Environment. How can this
Many useful matrices in applied math and statistics have a banded structure. Examples include diagonal matrices, tridiagonal matrices, banded matrices, and Toeplitz matrices. An example of an unsymmetric Toeplitz matrix is shown to the right. Notice that the matrix is constant along each diagonal, including sub- and superdiagonals. Recently, I
The other day I was trying to numerically integrate the function f(x) = sin(x)/x on the domain [0,∞). The graph of this function is shown to the right. In SAS, you can use the QUAD subroutine in SAS IML software to perform numerical integration. Some numerical integrators have difficulty computing
Did you know that you can embed one graph inside another by using PROC SGPLOT in SAS? A typical example is shown to the right. The large graph shows kernel density estimates for the distribution of the Cholesterol variable among male and female patients in a heart study. The small
I don't often use the SG annotation facility in SAS for adding annotations to statistical graphics, but when I do, I enjoy the convenience of the SG annotation macros. I can never remember the details of the SG annotation commands, but I know that the SG annotation macros will create
Many SAS procedures support a BY statement that enables you to perform an analysis for each unique value of a BY-group variable. The SAS IML language does not support a BY statement, but you can program a loop that iterates over all BY groups. You can emulate BY-group processing by
There are many ways to model a set of raw data by using a continuous probability distribution. It can be challenging, however, to choose the distribution that best models the data. Are the data normal? Lognormal? Is there a theoretical reason to prefer one distribution over another? The SAS has
As SAS delivered powerful end-to-end artificial intelligence & machine learning platform SAS® Viya®, more and more SAS users plan to adopt this new platform to produce faster outcomes and invaluable insights. The significant difference between SAS Viya and SAS 9 is, UTF-8 is the default session encoding in SAS Viya,
Does anyone write paper checks anymore? According to researchers at the Federal Reserve Bank of Atlanta (Greene, et al., 2020), the use of paper checks has declined 63% among US consumers since the year 2000. The researchers surveyed more than 3,000 consumers in 2017-2018 and discovered that only 7% of
Some readers read the article “how-to-evaluate-sas-expression-in-data-step-dynamically” and wonder if there is a same mechanism or functionality in DS2. As indicated in that article, SAS provides similar features in DATA step, PROC CAS and PROC Python, but some projects like ESP (Event Stream Processing) projects would store those expression definition in
I have previously written about how to efficiently generate points uniformly at random inside a sphere (often called a ball by mathematicians). The method uses a mathematical fact from multivariate statistics: If X is drawn from the uncorrelated multivariate normal distribution in dimensiond, then S = r*X / ||X|| has
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll show how to impute missing values in a distributed CAS table using the fillna method from the Pandas API in the SWAT package and the impute CAS action. Load and prepare data
실무에서 데이터를 다루다 보면 필연적으로 결측 데이터를 만나게 됩니다. 핑계 없는 무덤이 없다는 속담이 있듯, 데이터가 결측인 이유도 정말 다양합니다. 특별한 경우에만 값이 있는 경우, 서버 장애로 관측되지 않은 경우, 응답자가 응답을 거부하는 경우, 데이터 구조가 바뀌면서 새로운 컬럼이 추가된 경우 등등 너무 다양하죠? 오늘 포스팅에서는 이와 같은 결측치를 처리하는
