子集一个不平衡的面板数据集在 R 中至少有 2 个连续观察 [英] Subsetting a unbalanced panel dataset to have at least 2 consecutive observations in R

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问题描述

我在 R 中有一个不平衡的面板数据集.以下将作为示例:

I have an unbalanced panel dataset in R. The following will serve as an example:

dt <- data.frame(name= rep(c("A", "B", "C"), c(3,2,3)), 
                 year=c(2001:2003,2000,2002,2000:2001,2003))

> dt
  name year
1    A 2001
2    A 2002
3    A 2003
4    B 2000
5    B 2002
6    C 2000
7    C 2001
8    C 2003

现在,我需要对每个 name 进行至少 2 个连续的 year 观察.因此,我想删除第 4、5 和 8 行.我在 R 中如何最好地做到这一点?

Now, I need to have at least 2 consecutive year observations for each name. Hence, I would like to remove row 4, 5, and 8. How do I best do that in R?

感谢下面的评论,我可以说得更清楚一些.如果我有一个带有 name=Cyear=2004 的额外观察(第 9 行),我会想要将第 8 行和第 9 行与其他行一起保留.

Thanks to the comment below, I can make a bit clearer. If I had an extra observation (row 9) with name=C and year=2004, I would want to keep both row 8 and 9 along with the others.

推荐答案

我的(hackish)方法是:

My (hackish) way to do it would be:

is.consecutive = duplicated(rbind(dt,transform(dt, year=year+1), 
                                     transform(dt, year=year-1)),
                            fromLast=TRUE)[1:nrow(dt)]

is.consecutive 包含要保留的观察值的布尔值向量.对于您的示例,此向量将是:TRUE TRUE TRUE FALSE FALSE TRUE TRUE FALSE

is.consecutive contains a vector of booleans of the observations to be retained. For your example, this vector would be: TRUE TRUE TRUE FALSE FALSE TRUE TRUE FALSE

最后,您可以轻松地使用此向量对您的 data.frame 进行子集化,例如与:

Finally, you can easily use this vector to subset your data.frame, e.g. with:

dt[is.consecutive,]

这篇关于子集一个不平衡的面板数据集在 R 中至少有 2 个连续观察的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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