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How to remove rows in R matrix that contains a specific number?
To remove rows in R matrix that contains a specific number, we can follow the below steps −
First of all, create a matrix.
Then, use single square subsetting with apply function to remove rows that contains a specific number.
Example
Create the data frame
Let’s create a data frame as shown below −
M<-matrix(sample(1:25,100,replace=TRUE),ncol=4) M
Output
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
[,1] [,2] [,3] [,4] [1,] 2 16 6 22 [2,] 21 8 2 1 [3,] 9 3 1 4 [4,] 8 22 4 25 [5,] 25 19 24 21 [6,] 20 16 5 2 [7,] 1 21 3 5 [8,] 23 5 15 2 [9,] 12 5 2 11 [10,] 9 20 15 3 [11,] 18 14 11 6 [12,] 18 12 7 5 [13,] 24 3 19 9 [14,] 24 22 20 16 [15,] 15 20 18 5 [16,] 13 11 9 17 [17,] 4 22 4 17 [18,] 14 25 8 18 [19,] 12 3 17 24 [20,] 20 18 7 23 [21,] 3 17 20 5 [22,] 3 13 14 18 [23,] 20 15 21 9 [24,] 5 7 6 2 [25,] 9 2 7 10
Remove rows that contains a specific number
Using single square subsetting with apply function to remove rows that contains 20 in matrix M −
M<-matrix(sample(1:25,100,replace=TRUE),ncol=4) M[!apply(M==20,1,any),]
Output
[,1] [,2] [,3] [,4] [1,] 2 16 6 22 [2,] 21 8 2 1 [3,] 9 3 1 4 [4,] 8 22 4 25 [5,] 25 19 24 21 [6,] 1 21 3 5 [7,] 23 5 15 2 [8,] 12 5 2 11 [9,] 18 14 11 6 [10,] 18 12 7 5 [11,] 24 3 19 9 [12,] 13 11 9 17 [13,] 4 22 4 17 [14,] 14 25 8 18 [15,] 12 3 17 24 [16,] 3 13 14 18 [17,] 5 7 6 2 [18,] 9 2 7 10
Updated on: 11-Nov-2021
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