报告data.frame中缺失值的优雅方法 [英] Elegant way to report missing values in a data.frame

问题描述

这是我写的一小段代码，用于报告数据框中缺少值的变量.我正在尝试一种更优雅的方式来执行此操作，该方法可能返回一个data.frame，但我遇到了麻烦:

Here's a little piece of code I wrote to report variables with missing values from a data frame. I'm trying to think of a more elegant way to do this, one that perhaps returns a data.frame, but I'm stuck:

for (Var in names(airquality)) {
    missing <- sum(is.na(airquality[,Var]))
    if (missing > 0) {
        print(c(Var,missing))
    }
}

我正在处理带有数十到数百个变量的data.frames，因此关键是我们只报告缺少值的变量.

I'm dealing with data.frames with dozens to hundreds of variables, so it's key that we only report variables with missing values.

推荐答案

只需使用sapply

> sapply(airquality, function(x) sum(is.na(x)))
  Ozone Solar.R    Wind    Temp   Month     Day 
     37       7       0       0       0       0

您还可以在is.na()

> apply(is.na(airquality),2,sum)
  Ozone Solar.R    Wind    Temp   Month     Day 
     37       7       0       0       0       0
> colSums(is.na(airquality))
  Ozone Solar.R    Wind    Temp   Month     Day 
     37       7       0       0       0       0 

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