简体   繁体   English

根据两列中值的组合从数据框中提取行

[英]Extracting rows from a data frame depending on the combination of values in two colums

I got a data frame我有一个数据框

a <- c('A','A','A','A','B','B','C','C')
b <- c(1,2,1,3,1,3,1,6)
c <- c('K','K','H','H','K','K','H','H')

frame <- data.frame(a,b,c)

> frame
  a b c
1 A 1 K
2 A 2 K
3 A 1 H
4 A 3 H
5 B 1 K
6 B 3 K
7 C 1 H
8 C 6 H

And now I want to extract data the following way: If the string in 'a' occurs in a row with 'K' AND in a row with 'H', the rows with a 'K' will be left out.现在我想通过以下方式提取数据:如果“a”中的字符串出现在带有“K”的行中并且出现在带有“H”的行中,则带有“K”的行将被忽略。 In the end it should look like this:最后它应该是这样的:

> frame
  a b c
1 A 1 H
2 A 3 H
3 B 1 K
4 B 3 K
5 C 1 H
6 C 6 H

Maybe you got any ideas.也许你有什么想法。 Thank you!谢谢!

You can use intersect to find strings in a having H and K in column c and then extract those where column c holds a K .您可以使用intersect在列c中查找a HK的字符串,然后提取列c包含K的字符串。

frame[!(frame$a %in% intersect(frame$a[frame$c=="K"],
   frame$a[frame$c=="H"]) & frame$c=="K"),]
#  a b c
#3 A 1 H
#4 A 3 H
#5 B 1 K
#6 B 3 K
#7 C 1 H
#8 C 6 H

We could use a group by filter我们可以通过filter使用一个组

library(dplyr)
frame %>%
    group_by(a) %>%
    filter(all(c('K', 'H') %in% c) & c != 'K'|n_distinct(c) == 1)
# A tibble: 6 x 3
# Groups:   a [3]
#  a         b c    
#  <fct> <dbl> <fct>
#1 A         1 H    
#2 A         3 H    
#3 B         1 K    
#4 B         3 K    
#5 C         1 H    
#6 C         6 H    

声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.

 
粤ICP备18138465号  © 2020-2024 STACKOOM.COM