问题描述
R中的Vectorize()和apply()函数通常可用于实现相同的目标.由于可读性的原因，我通常更喜欢对函数进行矢量化处理，因为主调用函数与手头任务相关，而sapply与之无关.当我要在我的R代码中多次使用该矢量化函数时，对Vectorize()也是有用的.例如:
The Vectorize() and the apply() functions in R can often be used to accomplish the same goal. I usually prefer vectorizing a function for readability reasons, because the main calling function is related to the task at hand while sapply is not. It is also useful to Vectorize() when I am going to be using that vectorized function multiple times in my R code. For instance:
a <- 100
b <- 200
c <- 300
varnames <- c('a', 'b', 'c')
getv <- Vectorize(get)
getv(varnames)
vs
sapply(varnames, get)
但是，至少在SO上，我很少在解决方案中看到带有Vectorize()的示例，只有apply()(或其同级之一). Vectorize()是否存在任何效率问题或其他合法问题，这些问题使apply()成为更好的选择?
However, at least on SO I rarely see examples with Vectorize() in the solution, only apply() (or one of it's siblings). Are there any efficiency issues or other legitimate concerns with Vectorize() that make apply() a better option?
推荐答案
Vectorize只是mapply的包装.它只是为您提供的任何功能构建一个mapply循环.因此，通常要做的事情比Vectorize()容易得多，而显式的*apply解决方案最终在计算上是等效的，甚至可能更好.
Vectorize is just a wrapper for mapply. It just builds you an mapply loop for whatever function you feed it. Thus there are often easier things do to than Vectorize() it and the explicit *apply solutions end up being computationally equivalent or perhaps superior.
另外，对于您的特定示例，您听说过mget，对吗?
Also, for your specific example, you've heard of mget, right?
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