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2. Transposing two variables. With only a few modifications, the above example can be used to reshape two (or more) variables. The PREFIX= option specifies a prefix to use in constructing the names of transposed variables. If you do not use an ID statement or the PREFIX= option, PROC TRANSPOSE looks for an input variable called _NAME_ from which to get the names of the transposed variables.

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Se hela listan på documentation.sas.com So, I have 5 datasets and I am merging them all. But, before I merge I want to add a common prefix to each variable in a dataset. For example, if my datasets name is acc16 and it has 50 variables. Sample 37433: Rename each variable in a data set by adding a prefix The sample code that is illustrated on the Full Code tab uses the %SYSFUNC function along with certain SAS ® functions to retrieve the variable names.

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In the below, I have made a new renames&i macro variable for each element in the list of prefixes. A group of “renaming” macros will be created, which perform different renaming jobs, i.e. renaming all the variables in a SAS data set, renaming partial variables, adding prefixes, adding suffixes, and/or replacing the prefix or the suffix. It’s a very handy tool for tailoring variable names in batches quickly to fit different needs.

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To be SAS Macro Language: The macro NAMES creates a series of names by concatenating the value of the parameter NAME and the value of the macro variable N. when you generate a numbered series of names, you always want to put the letter X between the prefix and the number. The macro NAMESX inserts an X after the prefix you supply IF NMISS(x,y,z) = 0 then PUT " All variables have non-missing values"; CMISS : The CMISS() function introduced in SAS 9.2 is similar to the NMISS() function that it counts the number arguments that are missing, but for both character and numeric variables without requiring character values to be converted to numeric. N : The N() function returns the number of non-missing values in a list of In general variables in SAS represent the column names of the data tables it is analysing. But it can also be used for other purpose like using it as a counter in a programming loop. In the current chapter we will see the use of SAS variables as column names of SAS Data Set. SAS Variable Types.

Because of the daunting number of variables, I would really like to use as simple code as the code above. Could you let me know how to make one array for all variables with different Alphabetic prefixes? Thanks, Duckhye comp.soft-sys.sas .
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You should just use double quotes instead. 2014-09-27 2. In the first transpose of the above code, we are telling SAS to store information of all the variables in a single variable and the respective values in the another variable. And we do not want to transpose variables ID and Time. Hence, we have specified them in BY statement.

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select these variables is to use the colon wildcard [1]. A colon following a variable name prefix selects any variable name that starts with that prefix regardless of what follows the prefix. So in the following data step only the variables A11 and A3 are selected and the output from the data step is the two values 1 and 9.

We have a list of variables and a list for the new names of these variables. In the example below, we want to rename variables faminc1 and faminc2 to be a and b for no particular reason. SAS won’t transpose the variables that are mentioned in the BY statement. By default, SAS assumes that the data you want to transpose is sorted by the variables mentioned in the BY statement. If not, you need to sort the data first or add the keyword NOTSORTED to let SAS know that the data is not sorted. NAME= specifies Test as the name for the variable that contains the names of the variables in the input data set that the procedure transposes. The procedure names the transposed variables by using the value from PREFIX=, sn, and the value of the ID variable StudentID.