#Proc sgplot rename x axis how to

The ODS OUTPUT statement creates a table with all the statistics of the boxplot. You can find the outliers of a boxplot by placing an ODS OUTPUT statement right before the code that generates the boxplot. However, how do you find the exact value of the outliers in a boxplot? Each outlier is plotted as a single point.

#Proc sgplot rename x axis how to

How to Find Outliers with a Boxplot in SAS?īoxplots are a useful tool to identify outliers. The SAS code below contains all the steps we’ve mentioned above. This statement also allows you to specify the location of the statistics. You create a normal boxplot and add the XAXISTABLE statement to show the table with statistics. Now you can create the boxplot with the summary statistics. Create the Boxplot with the Summary Stastitics.You can do this by appending both datasets with the SET statement. Combine the Original Data with the Summary Statisticsīefore you create the boxplot with the summary statistics, you need to combine the original dataset with the dataset that contains the summary statistics.Also, we recommend selecting and renaming the variables of the output dataset. So, you need to filter only the summary statistics you want to show. The ODS output dataset has a lot of information.

With this option, you specify the name of the table that contains the summary statistics. The ODS statement starts with the ODS keyword, followed by the OUTPUT SGPLOT=-option. To save these values in a table, you need to the ODS statement. the mean, the median, or the 75%-percentile, with a boxplot. You can calculate the values of the summary statistics, e.g.

Adding a table with summary statistics to a SAS boxplot is a 4 step process.