如何使用dplyr包从R数据框中删除多行？
有时我们会在数据集中获得不必要的信息，需要删除这些信息，这些信息可能是单个案例，多个案例，整个变量或任何其他无助于实现我们的分析目标的事物，因此我们希望将其删除。如果我们想借助dplyr软件包从R数据帧中删除此类行，则可以使用anti_join函数。
示例
请看以下数据帧：
> set.seed(2514) > x1<-rnorm(20,5) > x2<-rnorm(20,5,0.05) > df1<-data.frame(x1,x2) > df1
输出结果
x1 x2 1 5.567262 4.998607 2 5.343063 4.931962 3 2.211267 5.034461 4 5.092191 5.075641 5 3.883282 4.997900 6 5.950218 5.038626 7 4.903268 5.010087 8 7.462286 4.974513 9 5.056762 5.097812 10 6.031768 5.002989 11 3.814416 4.990552 12 3.359167 4.891964 13 5.304671 4.950883 14 4.768564 4.953290 15 3.842797 4.950219 16 5.270018 4.995953 17 6.344269 5.008545 18 5.366249 4.905290 19 5.547608 5.098554 20 5.266844 5.003416
加载dplyr软件包：
> library(dplyr)
从df1中删除第1至5行：
> anti_join(df1,df1[1:5,])
Joining, by = c("x1", "x2")
x1 x2
1 5.950218 5.038626
2 4.903268 5.010087
3 7.462286 4.974513
4 5.056762 5.097812
5 6.031768 5.002989
6 3.814416 4.990552
7 3.359167 4.891964
8 5.304671 4.950883
9 4.768564 4.953290
10 3.842797 4.950219
11 5.270018 4.995953
12 6.344269 5.008545
13 5.366249 4.905290
14 5.547608 5.098554
15 5.266844 5.003416从df1中删除第11至18行：
> anti_join(df1,df1[11:18,])
Joining, by = c("x1", "x2")
x1 x2
1 5.567262 4.998607
2 5.343063 4.931962
3 2.211267 5.034461
4 5.092191 5.075641
5 3.883282 4.997900
6 5.950218 5.038626
7 4.903268 5.010087
8 7.462286 4.974513
9 5.056762 5.097812
10 6.031768 5.002989
11 5.547608 5.098554
12 5.266844 5.003416从df1中删除第6至12行：
> anti_join(df1,df1[6:12,])
Joining, by = c("x1", "x2")
x1 x2
1 5.567262 4.998607
2 5.343063 4.931962
3 2.211267 5.034461
4 5.092191 5.075641
5 3.883282 4.997900
6 5.304671 4.950883
7 4.768564 4.953290
8 3.842797 4.950219
9 5.270018 4.995953
10 6.344269 5.008545
11 5.366249 4.905290
12 5.547608 5.098554
13 5.266844 5.003416从df1中删除第15至20行：
> anti_join(df1,df1[15:20,])
Joining, by = c("x1", "x2")
x1 x2
1 5.567262 4.998607
2 5.343063 4.931962
3 2.211267 5.034461
4 5.092191 5.075641
5 3.883282 4.997900
6 5.950218 5.038626
7 4.903268 5.010087
8 7.462286 4.974513
9 5.056762 5.097812
10 6.031768 5.002989
11 3.814416 4.990552
12 3.359167 4.891964
13 5.304671 4.950883
14 4.768564 4.953290从df1中删除第5至18行：
> anti_join(df1,df1[5:18,])
Joining, by = c("x1", "x2")
x1 x2
1 5.567262 4.998607
2 5.343063 4.931962
3 2.211267 5.034461
4 5.092191 5.075641
5 5.547608 5.098554
6 5.266844 5.003416从df1中删除第11至20行：
> anti_join(df1,df1[11:20,])
Joining, by = c("x1", "x2")
x1 x2
1 5.567262 4.998607
2 5.343063 4.931962
3 2.211267 5.034461
4 5.092191 5.075641
5 3.883282 4.997900
6 5.950218 5.038626
7 4.903268 5.010087
8 7.462286 4.974513
9 5.056762 5.097812
10 6.031768 5.002989从df1中删除第1至10行：
> anti_join(df1,df1[1:10,])
Joining, by = c("x1", "x2")
x1 x2
1 3.814416 4.990552
2 3.359167 4.891964
3 5.304671 4.950883
4 4.768564 4.953290
5 3.842797 4.950219
6 5.270018 4.995953
7 6.344269 5.008545
8 5.366249 4.905290
9 5.547608 5.098554
10 5.266844 5.003416从df1中删除第2至11行：
> anti_join(df1,df1[2:11,])
Joining, by = c("x1", "x2")
x1 x2
1 5.567262 4.998607
2 3.359167 4.891964
3 5.304671 4.950883
4 4.768564 4.953290
5 3.842797 4.950219
6 5.270018 4.995953
7 6.344269 5.008545
8 5.366249 4.905290
9 5.547608 5.098554
10 5.266844 5.003416热门推荐
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