Question

我有一个如下所示的数据框，并且希望按两列中的匹配项进行过滤。

在下面，我想过滤EMILY和FEMALE以及MICHAEL AND MALE。我可以设置某种列表或数据框，然后使用它进行过滤吗？

Name,Year,Gender,Count
Emily,2000,Female,25952
Emily,2001,Female,34294
Michael,2000,Male,345697
Michael,2000,Female,4
Michael,2001,Male,185029
Michael,2001,Female,5

Answer 1

您确实可以定义一个包含感兴趣案例的数据框，然后使用inner_join：

toFilter <- data.frame(Name = c("Emily", "Michael"), Gender = c("Female", "Male"))
inner_join(df, toFilter)
Joining, by = c("Name", "Gender")
#      Name Year Gender  Count
# 1   Emily 2000 Female  25952
# 2   Emily 2001 Female  34294
# 3 Michael 2000   Male 345697
# 4 Michael 2001   Male 185029

Answer 2

那又怎么样：

library(tidyverse)

df %>%
filter( (Name == "Emily" & Gender == "Female") | (Name == "Michael" & Gender == "Male") )

使用的数据：

df <- read_csv("Name,Year,Gender,Count
         Emily,2000,Female,25952
         Emily,2001,Female,34294
         Michael,2000,Male,345697
         Michael,2000,Female,4
         Michael,2001,Male,185029
         Michael,2001,Female,5")

按多列中的配对条件过滤

2 个答案: