The POSITION= option in the TEXT statement provides you with a way to position text in a variety of locations relative to a point. You can use this option to fine tune label placement in a plot primarily created by using the SCATTER statement and the DATALABEL= option.
This post shows you how to animate text to create a message that appears one character at a time.
In a previous article, I showed how to use SAS to perform mean imputation. However, there are three problems with using mean-imputed variables in statistical analyses: Mean imputation reduces the variance of the imputed variables. Mean imputation shrinks standard errors, which invalidates most hypothesis tests and the calculation of confidence
In my previous post, I described a new options to control the widths of the caps for Whiskers, Error and Limit bars. This topic could have been titled "Little things go a long way", as such details really make for a good graph. In a similar manner, another detail issue
Missing values present challenges for the statistical analyst and data scientist. Many modeling techniques (such as regression) exclude observations that contain missing values, which can reduce the sample size and reduce the power of a statistical analysis. Before you try to deal with missing values in an analysis (for example,
이 기사는 SAS Korea가 번역 및 편집했으며 원래 Rick Wicklin이 썼습니다. 원문이 여기에 있습니다. 이번 블로그를 통해 ODS 템플릿을 효율적으로 수정할 수 있는 SAS 프로그래밍 기법, 일명 ‘커펠드 템플릿 수정 기법(Kuhfeld’s Template Modification Technique; TMT)’을 소개하고자 합니다. 다섯 단계만 거치면 20줄 미만의 SAS 코드만으로 이 기법을 구현할 수 있는데요. 방법은 간단하지만
This article shows how to simulate beta-binomial data in SAS and how to compute the density function (PDF). The beta-binomial distribution is a discrete compound distribution. The "binomial" part of the name means that the discrete random variable X follows a binomial distribution with parameters N (number of trials) and
Have you heard? The ODS Destination for PowerPoint Has a New Option It’s true. The ODS destination for PowerPoint now has the STARTPAGE= option, which provides you with greater control and flexibility when creating presentations. Added to the ODS POWERPOINT statement in SAS® 9.4TS1M4, the STARTPAGE= option enables you to
In the previous post, I discussed creating a 2D grid of spark lines by Year and Claim Type. This graph was presented in the SESUG conference held last week on SAS campus in the paper ""Methods for creating Sparklines using SAS" by Rick Andrews. This grid of sparklines was actually the
The South East SAS Users Group meeting wound up yesterday. The 25th anniversary conference was held on SAS Campus and it provided a great opportunity to meet with many enthusiastic SAS users and attend many informative presentations. More on this in a follow-up article. During one of these presentations, Mary
Once in a while you run into a pesky situation that is hard to overcome without resorting to major surgery. Such a situation occurs when you have a stacked bar chart with a discrete legend positioned vertically on the side of the graph. A simple example is shown below. title
When a plot is classified by one or more variables, the different classes values are displayed in the graph either by position or by using different plot attributes such as color, marker shape or line pattern. For plots that display the visual by a filled area (bar, bin, band, bubble,
This article demonstrates a SAS programming technique that I call Kuhfeld's template modification technique. The technique enables you to dynamically modify an ODS template and immediately call the modified template to produce a new graph or table. By following the five steps in this article, you can implement the technique
Plot statements included in the graph definition can contribute to the legend(s). This can happen automatically, or can be customized using the KEYLEGEND statement. For plot statements that are classified by a group variable, all of the unique group values are displayed in the legend, along with their graphical representation
Curve labels in series plots can be positioned inside or outside the graph. Date variables can be specified as TYPE=LINEAR with a date format or more commonly as TYPE=DATE. Sometimes external curve labels might appear below or above the graph, particularly with TYPE=DATE axes. This post shows you ways to move them to the right of the graph.
Last year, a user asked about creating a "Turnip Plot" as used in this study of Caesarian Section Rates. Primarily, this is similar to a histogram on the y-axis for each unique value on the y-axis. A marker is drawn for each occurrence, starting from the center. Back then, I
The previous post on Multiple Blank Categories showed how to include multiple blank categories on the axis. But, given the purpose for this was to separate different segments in the data, I also included ideas on how to segmented a discrete axis using reference lines or Block Plot. A similar idea
I hope everyone has noticed some new shortcuts in Graphically Speaking. As you scroll down and look to the right, there are shortcuts for Sanjay's getting started and clinical graphs posts and one for my advanced blogs. When Sanjay asked me to make an icon for my advanced blogs, at
In a previous article, I discussed the lines plot for multiple comparisons of means. Another graph that is frequently used for multiple comparisons is the diffogram, which indicates whether the pairwise differences between means of groups are statistically significant. This article discusses how to interpret a diffogram. Two related plots
In a previous article, I discussed the lines plot for multiple comparisons of means. Another graph that is frequently used for multiple comparisons is the diffogram, which indicates whether the pairwise differences between means of groups are statistically significant. This article discusses how to interpret a diffogram. Two related plots
Off and on, users have expressed the need to include multiple blank categories on a discrete axis. Often, this is desirable to separate groups of bars (or categories) in a graph due to some difference their definition. Such a case was discussed in this blog article on using non breaking
ODS Graphics procedures primarily strive towards the following goal: "Make simple graphs easy and complex graphs possible". SGPLOT procedure allows you create simple graphs with a single plot statement, and create complex graphs by layering together or combining multiple plot statements. Generally, the appearance follows the guidelines set by industry
Axis tables can use the SUM= option to summarize data and display means, medians, sums, and percentages. They can instead be used to display data, text, and statistics without any summarization.
This post provides a general macro that enables you to easily display special characters (Unicode) in axis table columns.
SAS 9.4 maintenance release 5 was released on Sept 19, 2017. This release includes many new items including integration with SAS Viya and SAS Studio, a web application for SAS development. Also Included with this release are some cool new features in the graphics domain, some of which were requested
In PROC GLM and most other procedures that compute LS-means, mean comparisons are now displayed graphically. This makes comparisons between a large number of groups easier to interpret.
If you perform a weighted statistical analysis, it can be useful to produce a statistical graph that also incorporates the weights. This article shows how to construct and interpret a weighted histogram in SAS. How to construct a weighted histogram Before constructing a weighted histogram, let's review the construction of
This post shows how to use PROC SGPLOT together with PROC TRANSREG to fit monotonically increasing or decreasing functions through a scatter plot.
In the previous article on Getting Started with Vertical HighLow Plot, I described how we can use the HighLow plot to display the stock price by date. The HighLow plot is specifically designed for such use cases as shown below. The data is downloaded from the Nasdaq web site, and
In a large simulation study, it can be convenient to have a "control file" that contains the parameters for the study. My recent article about how to simulate multivariate normal clusters demonstrates a simple example of this technique. The simulation in that article uses an input data set that contains
