R用NA为数据帧填充缺失值 [英] R Filling missing values with NA for a data frame

问题描述

我目前正在尝试使用以下列表创建数据框

I am currently trying to create a data-frame with the following lists

location <- list("USA","Singapore","UK")
organization <- list("Microsoft","University of London","Boeing","Apple")
person <- list()
date <- list("1989","2001","2018")
Jobs <- list("CEO","Chairman","VP of sales","General Manager","Director")

当我尝试创建数据帧时，出现(显而易见的)错误，即列表的长度不相等.我想找到一种方法，使列表具有相同的长度，或者用"NA"填充丢失的数据框条目.经过搜索后，我一直找不到解决方法

When I try and create a data-frame I get the (obvious) error that the lengths of the lists are not equal. I want to find a way to either make the lists the same length, or fill the missing data-frame entries with "NA". After doing some searching I have not been able to find a solution

推荐答案

您可以这样做:

data.frame(sapply(dyem_list, "length<-", max(lengths(dyem_list))))

   location         organization person date            Jobs
1       USA            Microsoft   NULL 1989             CEO
2 Singapore University of London   NULL 2001        Chairman
3        UK               Boeing   NULL 2018     VP of sales
4      NULL                Apple   NULL NULL General Manager
5      NULL                 NULL   NULL NULL        Director

dyem_list如下:

dyem_list <- list(
  location = list("USA","Singapore","UK"),
  organization = list("Microsoft","University of London","Boeing","Apple"),
  person = list(),
  date = list("1989","2001","2018"),
  Jobs = list("CEO","Chairman","VP of sales","General Manager","Director")
)

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