![]() ![]() Then, as always, view the log window first to see if SAS displays any errors from running the code. Okay, enough explaining! Let's go ahead and have you launch and run the SAS program. That is, once you close out your SAS session, the SAS data set is removed from memory, and would have to be created again if you needed to use it again. The key thing for now is to know that, because temp1 is a temporary data set, it exists only until the end of your current SAS session. the DATA statement tells SAS that temp1 should be treated as temporary by specifying what is called a one-level name, such as temp1, rather than a two-level name, such as stat480.temp1. Okay, I'll let the cat out of the bag a little bit. ![]() that the above DATA statement tells SAS to create a temporary data set called temp1. We'll learn more about temporary and permanent data sets in the lesson pages that follow. The DATA statement is the statement that you must use to tell SAS whether the data set that you intend to create should be temporary or permanent. and the number of the column in which the field starts and the number of the column in which the field ends, separated by a dash (-).standard character or numeric values, and.You might want to count the columns out from left to right to convince yourself that we've defined the fields correctly. As our INPUT statement informs SAS, the subject number ( subj) begins in column 1 and ends in column 4, gender occupies just column 6, the subject's height begins in column 8 and ends in column 9, and the subject's weight begins in column 11 and ends in column 13. None of the variables in our data set are character variables, and therefore no dollar signs appear in the INPUT statement in our program. If you intend for the variable to be a character variable, place one blank space and then a dollar sign ($) right after the variable's name in the INPUT statement. In general, for each field of raw data that you want to read into your SAS data set, you must specify the following information in the INPUT statement: Recall that standard numeric data values can contain only numbers, decimal points, numbers in scientific notation ( e.g., 3.1E5), and plus or minus signs. Here, we use what is called column input, because the data values are: The INPUT statement is the statement that you must use to tell SAS the form of the data. Only one DATALINES statement can appear in a DATA step Must be closed by a null statement (that is, a single semicolon).Must immediately precede the data lines.Must be the last statement to appear in the DATA step (that is, except for the RUN statement).The DATALINES statement is the statement that you must use to tell SAS to expect instream data. The key things to note about the program are: It would probably be most helpful to you if you started by inspecting the SAS code. In the next lesson, we'll investigate how to use formatted input and list input to read data into our SAS data sets. And, we'll learn how to create both temporary and permanent SAS data sets. We'll learn how to use column input to read in data values arranged in neatly defined columns. That is, we'll investigate how to read instream data, how to read data from an external raw data file, how to read data from another SAS data set. In this lesson, we'll learn how to tackle all but two of the above situations. the kind of SAS data set that you want to create - Do you want to create a permanent SAS data set? Or do you want to create a temporary SAS data set?.the format of the data - Are the data values arranged in neatly defined columns so that they can be read in using column input? Are the data values separated by at least one blank space so that they can be read in using list input? Do the data values contain special characters so that they must be read in using formatted input?.where your data reside - Are they instream data, that is, embedded within your SAS program? Are they contained in a raw data file external to your SAS program? Or are they contained already in another SAS data set?.Keep in mind though that when reading data into a SAS data set, you always need to tell SAS three things: In this lesson, we learn methods that will work in many situations to get your data read into a SAS data set. In order to be able to analyze our data, we need to be able to read it into a data set that our SAS software understands.
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