Re: editing a macro variable in a data step do loop Posted 03-03-2022 08:06 AM (1692 views) | In reply to Huub I think this example is what you are looking forFirst I have 2 simple programs that I'm going to %
You can use theSYMPUT routineto create a macro variable and to assign to that variable any value that is available in the DATA step. When you use the SYMPUT routine to create a macro variable in a DATA step, the macro variable isnot actually created and assigned a valueuntilthe DATA step...
The SAS® Data step/Macro InterfaceThe SAS(R) macro facility is an extremely useful part of the SAS(R) System. However, macro variables and the macros themselves do not have to be exclusively referenced from within the macro facility. The SAS(R) data step can create, resolve and execute...
macro character function 作用在macro variable上 常见的function如: index直接从1开始 (区别于python index) 5. 总结: 建立macro variable的三种方法 (i) %let = (定义) %put = (return macro variable) (ii). 在 DATA step 创建macro variable: call symputx('variablename','assigned_content'); put: 1...
looks up an existing macro variable in the symbol table and returns the variable's value to the input stack in place of the original reference. 图例448 - 457 1.3:输出宏变量的值的几种方式 1.3.1:系统选项--->...
SAS macro variables 1. enable you to substitute text in your SAS programs(替代作用,和c++的 #define 差不多) 2. When you reference a macro variable in a SAS pr..
%put after macro: var2=&var2; /*全局宏变量*/ *1. Use %LET Statement.; %let gl_var1=global macro variable1; *2. Use CALL SYMPUT in DATA Step.; data_null_; call symput('gl_var2', 'global macro variable2'); run; *3. Use INTO ...
解析:这个statements告诉SAS 使用CALL SYMPUT创建一个macro variable,命名为&WINNINGTIME,当Place=1的时候使它的值等于变量TIME所表示的value。 注意: 你不能使用CALL SYMPUT创建一个宏变量,并在同一个DATA step中使用这个macro variable。(可以在当前DATA步使用CALL SYMPUT创建宏变量,但不能在该DATA步下使用该宏变量...
问在SAS中获取多个变量的中位数和第95个百分位数统计信息EN在C语言编程中，获取数组的中位数是一项...
Re: Changing values of a macro-variable (as a boundary) Posted 05-14-2014 05:51 AM (2753 views) | In reply to GuiVtzl Maybe I misunderstand, but for the code above you would get: datastep start. arrive at observation1. set n_miss to 0 start do loop with 1 if var...