len : optional. Set the length of string variablesuniformly. the defaultis 12000; *** *** MODIFICATIONS: *** Programmer *** Date: *** Reason: *** ***/ /*%let len=12000;*/ /*%let dataset=ae2_;*/ %macro ms_char_set_len(dataset=%str(td1), len=%str(12000)); /*create ...
nvar:Number of Variables 说到这儿,还没有说到数据字典...比如:我们要获取某逻辑库下的所有数据集名称,实际应用场景:数据集循环,进行一致的操作等,先来看看一段代码... 代码语言:javascript 代码运行次数:0 运行 AI代码解释 %macro dsloop;proc sql noprint;selectcount(*)into:_loop from dictionary.tables ...
***Get number of non-missing records for all variables; proc sql noprint; create table result1 as select "CLASS" as Dataset length=50, "NAME" as Var length=50, sum(not missing(NAME)) as Sum from class outer union corr select "CLASS" as Dataset length=50, "SEX" as Var length=50...
One task is to change raw data into standard SDTM variable, such as if CPEVENT=”Treatment and Observation Period (Day1)” then VISIT=“Day 1”, or if CPEVENT=”Day 1” then VISITNUM=2001. Another commom task is value conversion between stan...
(2)TheKEEPstatement specifies variables that are to be included in anydata setthat is being created. 5. 如果 retain语句 后面不跟任何变量,则: 会将所有由input和 赋值语句“=”创建的变量 都会retain其值,在data步的迭代中。 6. 默认情况下,如果不使用 RETAIN 语句, SAS会自动将由 input 和 赋值语句...
The STDIZE procedure with the REPONLY option can be used to replace missing values. The METHOD= option allows you to choose several different location measures such as the mean, median, and midrange. The output data set created by the OUT= option contains all the variables in the input data...
Transform Variables Assess Model Performance Assess Nodes: Overview Compare Models (7:36) Score New Data (13:12) Integrate with Python & R Integrating R Code into SAS Enterprise Miner (7:18) Integrating Python Code into SAS Enterprise Miner (6:20) ...
2:清空变量的方式有不同,The values of the variables in the program data vector are set to missing each time SAS starts to read a new data set and when the BY group changes。 根据by组的改变来清空,当by组改变时会进行清空。 然后根据by进行观测值的排序 ...
SAS 导出文件 SAS将数据集导出为文件有两种方法，一种使用PROC EXPORT，另外一种是使用DATA步 proc expo...
Through multiple iterations, randomly select variables for splitting while reducing the dependence on sample selection. Use out-of-bag samples to form predictions. • Score SAS Enterprise Miner models directly inside Aster Data, DB2, Greenplum, Hadoop, IBM Netezza, Oracle, SAP HANA, SAS Scalable ...