How to subset rows of data frame without NA using dplyr in R?

To subset rows of data frame without NA using dplyr in R, we can follow the below steps −

• First of all, create a data frame.
• Then, use filter function of dplyr package to subset the rows with !is.na.

Create the data frame

Let's create a data frame as shown below −

 Live Demo

x<-sample(c(NA,1,2),20,replace=TRUE)
df<-data.frame(x)
df

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

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

Subset the rows of data frame without NA using dplyr

Using filter function of dplyr package to subset the rows of df with !is.na as shown below −

x<-sample(c(NA,1,2),20,replace=TRUE)
df<-data.frame(x)
library(dplyr)
df %>% filter(!is.na(x))

Output

  x
1 2
2 2
3 1
4 1
5 1
6 1
7 1
8 1
9 1
10 2
11 1
12 2
13 2
14 2
15 1