The DO Loop

Learn SAS

Learn about the latest tips, tutorials, upcoming events and certifications

Analytics | Learn SAS

Rick WicklinMarch 24, 2021 3

An overview of regression diagnostic plots in SAS

When you fit a regression model, it is useful to check diagnostic plots to assess the quality of the fit. SAS, like most statistical software, makes it easy to generate regression diagnostics plots. Most SAS regression procedures support the PLOTS= option, which you can use to generate a panel of

English

Analytics | Data Visualization | Learn SAS

Rick WicklinMarch 8, 2021 0

The conditional distribution of a response variable

I recently learned about a new feature in PROC QUANTREG that was added in SAS/STAT 15.1 (part of SAS 9.4M6). Recall that PROC QUANTREG enables you to perform quantile regression in SAS. (If you are not familiar with quantile regression, see an earlier article that describes quantile regression and provides

English

Learn SAS | Programming Tips $Convert decimals to fractions in SAS$

Rick WicklinMarch 3, 2021 0

Convert decimals to fractions in SAS

I have previously shown how you can use the FRACTw. format in SAS to display numbers as fractions. But did you know that you can also use the format to obtain the numerator and denominator of the fraction as numbers in a program? All you need to do is to

English

Data Visualization | Learn SAS | Programming Tips

Rick WicklinMarch 1, 2021 3

Create a wind chill chart in SAS

I recently wrote about a simple statistical formula that approximates the wind chill temperature, which is the cumulative effect of air temperature and wind on the human body. The formula uses two independent variables (air temperature and wind speed) to predict the wind chill temperature. This article describes how to

English

Data Visualization | Learn SAS | Programming Tips

Rick WicklinFebruary 22, 2021 3

How to use the #BYVAR and #BYVAL keywords to customize graph titles in SAS

A previous article describes how to use the SGPANEL procedure to visualize subgroups of data. It focuses on using headers to display information about each graph. In the example, the data are time series for the price of several stocks, and the headers include information about whether the stock price

English

Data Visualization | Learn SAS

Rick WicklinFebruary 17, 2021 1

Data-driven titles for graphs

Many characteristics of a graph are determined by the underlying data at run time. A familiar example is when you use colors to indicate different groups in the data. If the data have three groups, you see three colors. If the data have four groups, you see four colors. The

English

Learn SAS | Programming Tips

Rick WicklinFebruary 15, 2021 0

Generate all quadratic interactions in a regression model

I've previously written about how to generate all pairwise interactions for a regression model in SAS. For a model that contains continuous effects, the easiest way is to use the EFFECT statement in PROC GLMSELECT to generate second-degree "polynomial effects." However, a SAS programmer was running a simulation study and

English

Learn SAS | Programming Tips

Rick WicklinFebruary 10, 2021 0

Print the top rows of your SAS data

One of the first things I learned in SAS was how to use PROC PRINT to display parts of a data set. I usually do not need to see all the data, so my favorite way to use PROC PRINT is to use the OBS= data set option to display

English

Data Visualization | Learn SAS

Rick WicklinJanuary 18, 2021 7

The DOLIST syntax: Specify a list of numerical values in SAS

Have you ever heard of the DOLIST syntax? You might know the syntax even if you are not familiar with the name. The DOLIST syntax is a way to specify a list of numerical values to an option in a SAS procedure. Applications include: Specify the end points for bins

English

Analytics | Learn SAS | Programming Tips

Rick WicklinJanuary 13, 2021 3

The moving block bootstrap for time series

As I discussed in a previous article, the simple block bootstrap is a way to perform a bootstrap analysis on a time series. The first step is to decompose the series into additive components: Y = Predicted + Residuals. You then choose a block length (L) that divides the total

English

Blogs

Blogs

Learn SAS