Subset Rows of an R Data Frame by Column Values

To subset rows of an R data frame if any columns have values greater than a certain value, we can follow the below steps −

• First of all, create a data frame.
• Then, use filter_all function of dplyr package with any_vars function to subset the rows of the data frame for any columns having values greater than a certain value.

Create the data frame

Let's create a data frame as shown below −

 Live Demo

x1<-sample(1:10,20,replace=TRUE)
x2<-sample(1:20,20,replace=TRUE)
df<-data.frame(x1,x2)
df

On executing, the above script generates the below output(this output will vary on your system due to randomization) −

 x1 x2
1  5 7
2  2 4
3  5 17
4  2 9
5  8 18
6  8 16
7  9 14
8  1 10
9  7 12
10 4 20
11 7 19
12 9 8
13 7 15
14 1 12
15 8 10
16 3 14
17 5 2
18 5 7
19 2 8
20 7 15

Subset the data frame

Loading dplyr package and using filter_all function any_vars function to subset the rows of the data frame df for all columns having values greater than 10 −

x1<-sample(1:10,20,replace=TRUE)
x2<-sample(1:20,20,replace=TRUE)
df<-data.frame(x1,x2)
library(dplyr)
df %>% filter_all(any_vars(.>10))

Output

  x1 x2
1  5 17
2  8 18
3  8 16
4  9 14
5  7 12
6  4 20
7  7 19
8  7 15
9  1 12
10 3 14
11 7 15