How to subset an R data frame by ignoring a value in one of the columns?



To subset an R data frame by ignoring a value in one of the columns, we can follow the below steps −

  • First of all, create a data frame.

  • Then, use single square brackets to subset the data frame by ignoring a value in one of the columns.

Example

Create the data frame

Let’s create a data frame as shown below −

x<-rpois(30,5) y<-rpois(30,5) z<-rpois(30,2) df<-data.frame(x,y,z) df

Output

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

 x y z 1 2 10 3 2 5 3 2 3 2 5 0 4 5 5 1 5 5 6 1 6 4 8 1 7 4 7 5 8 7 7 2 9 5 4 0 10 7 6 2 11 4 2 2 12 6 4 4 13 9 2 1 14 9 2 1 15 4 1 2 16 8 3 1 17 4 3 1 18 6 5 5 19 3 4 2 20 3 8 2 21 6 1 4 22 6 11 1 23 5 6 2 24 4 5 0 25 3 7 2 26 6 5 1 27 6 6 0 28 2 5 2 29 5 3 1 30 5 4 2

Subset the data frame by ignoring a value in one of the columns

Using single square brackets to subset the data frame df by ignoring 2 in column z as shown below −

x<-rpois(30,5) y<-rpois(30,5) z<-rpois(30,2) df<-data.frame(x,y,z) df[df$z!=2,]

Output

 x y z 1 2 10 3 3 2 5 0 4 5 5 1 5 5 6 1 6 4 8 1 7 4 7 5 9 5 4 0 12 6 4 4 13 9 2 1 14 9 2 1 16 8 3 1 17 4 3 1 18 6 5 5 21 6 1 4 22 6 11 1 24 4 5 0 26 6 5 1 27 6 6 0 29 5 3 1
Updated on: 2021-11-12T06:37:20+05:30

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