If we open the output, we can see all the 16 digits were stored for the variable a exactly in the dataset dsn. we can store numbers upto 16(1234567891012234) total 16 digits for a numeric variable, but that can be possible if we use a format statement. Since the type of floating-point values is upto 16 decimal digits. The reason is, since a numeric variable will need a power and and the sign(+ or -), if SAS want to store a numberit defenitely needs a minimum of 3 bytes.ĭepending upon the operating system we are using for SAS, the range for numeric variables can be 2 to 8 or 3 to 8. So if a variable contas less than 3 digits means it is stored with less space. When we are using SAS/Windows as our operating system and then the minimum length for any numeric variable should be 3(not 1 as we get confused all the time). The default length of numeric variables in SAS is 8 and all the numbers that we see in the sas datasets are called as floating numbers(floating point binary) and not a regular sequence numbers form 1 to 10. What if the numeric variable digits are more than 12 digits and i want to store them all without any E values? */Q&A: numeric variables length more than 8? We all know that the default length of the numeric variables in SAS is 8 and if suppose I want to store a number lets say (12345678910, which has a length 11 to numeric variable) to variable total, what should I do? * numeric variable names back to the original character variable names. * to the output data set, and the RENAME statement is used to rename the new */ * DROP statement is used to prevent the character variables from being written */ * to convert the value from character to numeric with the INPUT function. A DO loop is used to process each variable */ * statement is used for the list of character variables and another ARRAY for */ * The DATA step is used to convert the numeric values to character. Into :c_list separated by ' ', :n_list separated by ' ', Select trim(left(name)), trim(left(newname)), * variable and each character variable separated by an equal sign to be used in */ * last macro variable named Renam_list will contain a list of each new numeric */ * contain a list of each new numeric variable separated by a blank space. The next macro variable named N_list will */ * macro variable named C_list will contain a list of each character variable */ * PROC SQL is used to create three macro variables with the INTO clause. * The macro system option SYMBOLGEN is set to be able to see what the macro */ * variable names is created from the character variable name with a "_n" */ * variables and exclude the one ID character variable. * A DATA step is used to subset the VARS data set to keep only the character */ Proc contents data=test out=vars(keep=name type) noprint * variable names and their type from the TEST data set. * PROC CONTENTS is used to create an output data set called VARS to list all */ * The sample data set TEST contains both character and numeric variables */ In addition, SAS Institute will provide no support for the materials contained herein. Not be liable for any damages whatsoever arising out of their use of this material. Recipients acknowledge and agree that SAS Institute shall "as is" without warranty of any kind, either express or implied, includingīut not limited to the implied warranties of merchantability and fitness for a These sample files and code examples are provided by SAS Institute The SQL procedure is used to create the macro variables and the DATA step is used to convert the values from character to numeric.Ĭlick the Full Code tab to view the sample program and further details about the process. One contains the list of character variable names, the second contains the list of new numeric variable names, and the third contains the list of new numeric variables names set equal to the list of character variable names for the RENAME statement. In general, a list of all the character variables will be used to create three macro variables. This sample shows how to convert all character variables to numeric while excluding one character variable and keeping the same variable names in the output data set.
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