This sample contains 2 macro techniques for iterating through character values on a macro %DO loop.

For proper calculation of human age using DOB and an as-of date.

Text Miner uses a compressed representation of the term-by-doc frequency matrix. You will find an OUT data set in the project data directory of your text miner run. Its label will include the string "OUT" in it. Since a 30,000 document collection will have as many as 500,000 to a million distinct terms, be sure to restrict your terms of interest with a start list. I give an example of creating the cooccurrence matrix with the following code which expands the compressed version to an uncompressed version and then computes the co-occurrence count with proc corr and the sscp option.

Adding alternating row of color to make proc report output easier to read.

If you want to see some of the color names that SAS recognizes, run the following statements, which will print a list of colors to the SAS log:

Quite often it is necessary to set a default value for a macro parameter that is passed to a program. If the program is a macro, the %IF statement can be used to check if the value is provided and provide a default value if not. Since %IF statements are not allowed outside of macros, that technique won't work for a non-macro program (e.g., a file/program that is %INCLUDEd). The following code snippet demonstrates the use of the COALESCEC function to assign a default value.

since macro is a text manipulation facility, the coalesceC function is used regardless of whether the expected value for the parameter is numeric (i.e., everything in macro is interpretted as a character string).

Ods Html Report

The program uses the XML LIBNAME engine, FILENAME URL, SGPLOT procedure, and a simple PROC PRINT to create a report of recent Twitter activity around a specified hashtag.

An example to notify users with ETL job status

SAS code to output in JSON format

Applying Access Control Template to specific objects

You can use the POINT option of the SET statement to efficiently select a random sample of observations from a SAS data set. In addiiton to any statistical reasons for drawing a random sample, the technique is also useful to create test data from a large file. The program shown here efficiently samples a large data set. It reads only the observations that have been selected using the POINT option. You assign a variable that is the desired sample size. The example here selects a 10% sample. You can also assign a fixed value (e.g., 100). The DO loop is iterated for each observation The uniform function is compared to the percent of observations still to be selected If the observation is selected, it is read and output and the number needed is decremented by 1 Regardless the number of observations left is reduced by 1 The STOP statement is very important as without it, the DATA step will enter an infinite loop. This technique works by modifying the threshold as observations are read and selected. Every observation has the same probability of being selected so the technique is statistically valid (If you are a statistician, you probably know this. If not, the analogy of drawing straws is the logic behind this.)

This SAS macro will convert a dataset to a text file

Useful functions to ensure (99% of the time...) that a piece of text can be used to name a SAS variable. NOTE: This won't work with SAS literals.