If you would rather have them left aligned add a step between the proc transpose steps to modify the "middle" dataset. data middle Īlso note that it will typically right align the converted numeric variables. You can later drop the _ROW_ and _CHARVAR_ variables.Īlso note that it will typically right align the converted numeric variables. data to_transpose Īnd then use that as the source table to start with. If you don't know if you have an id variable or a character variable then you could just create one first. Proc print data=want run The CONTENTS ProcedureĪlphabetic List of Variables and Attributes Proc transpose data=middle out=want (drop=_name_) Out=middle (where=(lowcase(_name_) ne '_row_')) Notice we will need to exclude _ROW_ from the resulting data. So in that dataset _ROW_ is my unique identifier. Let's make a little test dataset that has a number and a date variable. Two things you need to make sure you have.ġ) A way to uniquely identify the original rows. We would take those lists in our further blog post.One easy way is to use PROC TRANSPOSE twice. Moreover, if you have other suggestions, suggest them in the comment section below. We hope that you must have found it helpful. SAS/IML 15.1 was released as part of SAS 9.4m6. Specifically, the CREATE FROM and APPEND FROM statements now support writing multiple matrices of any types. So, this was our side on how to add leading zeros to the character and numeric variables in SAS. If you want to create a SAS data set that contains mixed-type data (numeric and character), SAS/IML 15.1 provides support to write multiple matrices to a data set by using a single statement. Instead, you have to read the give any informat or best format then associate the format z to your variable. The input function converts characters variables to numeric, requiring an informat, so the z format will not work here. Run Character to Numeric conversion, keeping the leading zeros Use the z format in the put statement to keep the leading zeros. Occasionally your data may contain leading zeros, and you may need to convert the variable type to the character. Numeric to Character conversion, keeping the leading zeros The LENGTH function determines the number of characters in the variable customerid 16 – length( customerid) -1, which returns to ( 16- number of letters and values in the variable customerid – 1). Then, the REPEAT function is used to repeat 0s 16 times. CATS function is used to concatenate 0s with the variable customerid. Here, we add leading 0s to make the total digits 16. data test Ĭustomerid2=cats(repeat('0', 16-length(customerid2)-1), customerid2) If there are no characters in target-expression that are unique from those in search-expression, VERIFY returns a 0. We have converted the existing customerid numeric variable to a character for this example. If you want to check if a string is numeric in SAS in a simple and fast way: you can use Verify Function, which returns the position of the first character in a string that is not in the search string. To add leading zeros to the character variable, you can use the combination of the REPEAT and CATS function. Add leading zeros to the Character Variable. Moreover, I'm interested in keeping the same variable names. I'm interested in identifying all numeric variable types and converting them to character type. 2 is for the two decimal values to the number. I find a lot of great resources for converting character variables to numeric, but I don't find much in terms of doing the reverse. Format value z5.2 tells SAS to keep the total number of digits to five, including the decimal point.If you need to keep the original variable name of cc, but as a character variable, then use the DROP. One for reading specific formats of the numeric data which is called informat and another for displaying the numeric data in specific. It uses these formats at the end of the variable names to apply a specific numeric format to the data. However, SAS has added one leading zero in the second observation as it has four values. In this example, the first statement converts the values of cc, a numeric variable, into the four-character hexadecimal format, and the second statement writes the same value that the PUT function returns. SAS can handle a wide variety of numeric data formats. In the first observation, it has not added any zeros as the number of digits is already five. tells SAS to add five leading zeros to the variable zip to maintain five as a length of the zip variable.
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