Sas data merge code#
Sas data merge free#

The code is pretty simple at a conceptual level: &streamDelim %include srvrpgs(class.html) * associate the desired formats with sex and age */ Set sashelp.class(firstobs=&letterObs obs=&letterObs) * read one observation and create macro variables.

The code is being run by my runMacro facility that runs the following macro.

Sas data merge free#

Feel free to try different observation numbers by editing the URL.ДЄssuming you've clicked on the links to try these out, lets talk about how this works. The value of the parameter letterObs is checked to make sure it is an integer as discussed in my last post, Simple Utility Macros and SAS Server Pages. But you can supply an observation number as follows: If no observation number is specified, the default is to generate a letter for observation 1.

Using the SAS/IntrNet Application Dispatcher:.

That way you can see the results using these links: It has been slightly modified so it can be run over the web. This example is based on the example from Section 4.1 of SASВ® Server Pages: Generating Dynamic ContentВ (and Chapter 4 is included in the soon to be released free preview copy). This post is going to be about a real-world use case: a mail-merge example where the requirement is to generate custom content for each defined subset of data-usually each observation. Upon execution of the above SAS program with the above changed part, we get the following output.So far all of my postings about PROC STREAM and SAS Server Pages have been setting up some of the basics. In the below example, the IN= value keeps only the observations where the values from both the data sets SALARY and DEPT match. The merge statement of the SAS program needs to be changed. To avoid the missing values in the result we can consider keeping only the observations with matched values for the common variable. When the above code is applied, we get the below result. ExampleД¬onsider the case of employee ID 3 missing from the dataset salary and employee ID 6 missing form data set DEPT. In such cases the data sets still get merged but give missing values in the result. There may be cases when some values of the common variable will not match between the data sets. Please note that the observations in both the datasets are already sorted in ID column. The above result is achieved by using the following code in which the common variable (ID) is used in the BY statement. The final data set will still have one observation per employee but it will contain both the salary and department variables. In this case to get the complete information for each employee we can merge these two data sets. ExampleД¬onsider two SAS data sets one containing the employee ID with name and salary and another containing employee ID with employee ID and department. Let us understand data merging with the help of an example. The basic syntax for MERGE and BY statement in SAS is в€’ДЇollowing is the description of the parameters used в€’Дata-set1,Data-set2 are data set names written one after another.Д¬ommon Variable is the variable based on whose matching values the data sets will be merged.

input data sets must be sorted by the common variable(s) that will be used to merge on.

input data sets must have at least one common variable to merge on.There are two Prerequisites for merging data sets given below в€’ It is because the variables form both data sets get merged as one record based when there is a match in the value of the common variable. The total number of observations in the merged data set is often less than the sum of the number of observations in the original data sets. This is done using the MERGE statement and BY statement. Multiple SAS data sets can be merged based on a specific common variable to give a single data set.