SAS DO Loop in Data Step The SAS do loop is the simplest form of the do loop, which can be executed within the SAS data step. The actions are iterated at the do loop conditional and unconditional execution. It
NOTE: The data set WORK.EXAMPLE_2 has 1 observation and 2 variables. 第二个例子展现了数据步的一个迭代过程如何生成5条观测。DO LOOP循环改变了执行的默认顺序。 data example_3; do i = 1 to 5; x = ‘Minnesota’; y = ‘Columbus’; output; end; run; The log presents the following messag...
Arthur Li (2013), “Essentials of the Program Data Vector (PDV): Directing the Aim to Understanding the DATA Step!”, Proceedings of the 2013 SAS® Global Forum Whitlock, Ian, “How to Think Through the SAS® DATA Step”, Proceedings of the 31st Annual SAS® Users Group International...
SAS通常在数据步结尾将一个观测值写入数据中,但可以写入多个观测值,在DO loop中或单独使用output语句。...transpose过程可以转置数据集,将观测值转变为变量或将变量转变为观测值。...VAR语句 VAR语句命名变量,这个变量的变量值是要转置的。...下面的代码读取数据、按照队伍、选手排序数据,再转置数据: ? 在proc tr...
THE SIMPLE BOOTSTRAP - YOU SHOULD KNOW THIS As we have discussed before, the usual 'bad' SAS code for bootstrapping is one humongous macro loop, with complex code lodged inside to handle all the pieces: a chunk to do the sampling from the data set, some statistical process that uses ...
You can use DEVIANCE function in the DATA step to compute the deviance statistic for six different common regression models. As shown in the documentation, each model has a different formula that is used to compute the deviance. Let's try using the DEVIANCE function for a least squares ...
四. 数据步的内置循环 Build-in Loop 数据步DATA step 含有一个底层的结构(一个隐形的内置循环)。 DATA steps execute line by line and observation by observation SAS程序 从数据集data set读取观测值1,然后使用观测值1执行data step.执行完数据步data step后,然后SAS将当前的观测值1 写入到new,output data...
Simulation of Categorical Data by Using the DATA Step Suppose you have a drawer with ten socks: five black, two brown, and three white. If you draw a sock at random, the probability of choosing a black sock is 0.5, the probability of brown is 0.2, and the probability of white is 0.3...
second and third arguments once rather than every time the COMPRESS function is called. Using the O modifier in the DATA step (excluding WHERE clauses), or in the SQL procedure, can make COMPRESS run much faster when you call it in a loop where the ...
Corner, CodersFehd, Ronald JControl, Disease