x <- 1:100
y <- vector()
for (i in x) {
if(i <= 5) y[i] <- f(x[i])#此处f()表示y与x的函数关系式
else y[i] <- y[i-5]
}
-Usage
aggregate(x, by, FUN, ..., simplify = TRUE, drop = TRUE)
与tapply类似，但是x可以为data.frame或矩阵；
-Arguments
by
a list of grouping elements, each as long as the variables in the data frame x. The
elements are coerced to factors before use.
-Example
-Usage
by(data, INDICES, FUN, ..., simplify = TRUE)
-Example
将warpbreaks的一二列，根据tension这一列的（L、M、H）运行summary
aggregate与by的区别 ：aggregate是对x的每一列分别根据因子进行分组计算，而by是根据因子将data整个分成几个小的data.frame，然后进行运算；
![麻烦问一下，这种笔记本电脑的按键[蓝色符号有什么用[？]](/aiimages/%E9%BA%BB%E7%83%A6%E9%97%AE%E4%B8%80%E4%B8%8B%EF%BC%8C%E8%BF%99%E7%A7%8D%E7%AC%94%E8%AE%B0%E6%9C%AC%E7%94%B5%E8%84%91%E7%9A%84%E6%8C%89%E9%94%AE%5B%E8%93%9D%E8%89%B2%E7%AC%A6%E5%8F%B7%E6%9C%89%E4%BB%80%E4%B9%88%E7%94%A8%5B%EF%BC%9F%5D.png)
