When you have two data files, you may want to combine them by stacking them one on top of the other (referred to as concatenating files). Below we have a file called dads and a file containing moms.
1. Introduction
Below we have stacked (concatenated) these files creating a file we called momdad. These examples will show how to concatenate files in SAS. Studies 1 2 download free.
2. Concatenating the moms and dads
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The SAS program below creates a SAS data file called dads and a file called moms. It then combines them (concatenates them) creating a file called dadmom.
The output of this program is shown below.
The output from this program shows that the files were combined properly. The dads and moms are stacked together in one file. But, there is a little problem. We can’t tell the dads from the moms. Let’s try doing this again but in such a way that we can tell which observations are the moms and which are the dads.
3. Concatenating the moms and dads, a better example
In order to tell the dads from the moms, let’s create a variable called momdad in the dads and moms data files that will contain dad for the dads data file and mom for the moms data file. When we combine the two files together the momdad variable will tell us who the moms and dads are.
The output of this program is shown below.
Express burn plus 8 15 inch. Here we get a more desirable result, because we can tell the dads from the moms by looking at the variable momdad. This required some thinking ahead because we had to put momdad in both the dads data file and the moms data file before we merged the data files.
4. Problems to look out for
These above examples coversituations where there are no complications. However, look out forthe following problems.
4.1. The two data files have different variable names for the same thing
For example, income iscalled dadinc and in the dads file and called mominc in themoms file, as shown below.
You can see the problemillustrated below.
Solution #1. Themost obvious solution is to choose appropriate variable names for the originalfiles (i.e., name the variable inc in both the moms and dads file). This solution is not always possible since you might be concatenating filesthat you did not originally create. To save space, we omit illustratingthis solution.
Solution #2. If solution#1 is not possible, then this problem can be addressed using an ifstatement in a data step.
The results are shown below,where inc now has the income for both the moms and dads.
Solution 3. Anotherway you can fix this is by using the rename option on the set statement of a data step to rename the variables just before the files are combined.
Samplephonics hybrid drum and bass download free. The output for Solution3 is below.
4.2 The two data files have different lengths for variables of the same name
In all of the examplesabove, the variable name was input with the format $ indicating name isan alphabetic (string) variable with a default length of 8. What would happenif name in the dads file was input using $3. and name in the moms file was input using $4. ? This is illustrated below.
The output is below.
Note that the names forthe moms are truncated to be length 3. This is because thelength for names in the dads file is 3. To fix this, use the lengthstatement in the data step that merges the two files.
The output is below.
4.3 The two data files have variables with the same name but different codes
This problem is similarto the problem above, except that it has an additional wrinkle, illustratedbelow. In the dads file there is a variable called fulltimethat is coded 1 if the dad is working full time, 0 if he is not. The moms file also has a variable called fulltime that iscoded Y is she is working full time, and N if she is not. Not only are these variables of different types (numeric and character), but they are coded differently as well.
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Solution #1. Codethe variables in the two files in the same way. For example, codefulltimeusing 0/1 for both files with 1 indicating working fulltime. Thisis the simplest solution if you are creating the files yourself. We will omit illustrating this solution to save space.
Solution #2. You may nothave created the original raw data files, so solution #1 may not be possiblefor you. In that case, you can create a new variable in each filethat has the same coding and will be compatible when you merge the files. Below we illustrate this strategy.
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For the dads file, we makea variable called full that is the same as fulltime, andsave the file as dads2, dropping fulltime. For themoms, we create full by recoding fulltime, and save the fileas moms2, also dropping fulltime. The files dads2and moms2 both have the variable full coded the same way(0/1 where 1=works full time) so we can combine those files together.
The results are shown below.
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