Survival plots are automatically created by the LIFETEST procedure. These graphs are most often customized to fit the needs of SAS users. One way to create the customized survival plot is to save the generated data from the LIFETEST procedure, and then use the SGPLOT procedure to create your custom
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
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
Often we have a graph with many bars (or categories) on the x or y axis. These categories may be sorted by descending response such as frequency of a % value. An example with simulated data is shown below. title 'Actual Values by Name'; proc sgplot data=bars2 noborder; vbar name /
One key aspect of graphs used in the statistical or clinical research domains is the need to display numerical or textual information aligned with the data in the plot. Examples of such graphs are the Survival Plot or the Forest Plot. These graphs use the AXISTABLE statements available with SAS
A frequently requested statistical graph is the scatter plot by with discrete categories along with mean value for each category. Searching for a "Scatter with Mean" will return a lot of requests for such a graph in SAS, Stata, R and other statistical software. Such a graph is very easy
This post shows you how to make a bar chart and an X-axis table; ensure consistency in the order of the legend, bar subgroups, and axis table rows; coordinate the colors for each of those components; and drive all the color choices from an attribute map.
One of the key benefits of creating graphs using GTL or SG Procedures is their support of plot layering to create complex graphs and layouts. Most simple graphs can be created by a single plot statement like a Bar Chart. Complex graphs can be created by layering appropriate plot statements to
In the area of graphical visualization of data, Edward Tufte is a thought leader and has put forth many innovative ideas that enhance the understanding of the information in the graph with minimal distractions and potential for misinterpretation. One of his ideas has been the use of "Spark" plots. As per my
As often is the case, this article is prompted by a recent post on the SAS/GRAPH and ODS Graphics page communities page. A user wanted to create a Graph Table showing a bar chart with tabular data for each of the category values along the x-axis. The user was creatively using
