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How to remove rows that contain NAs in R matrix?
To remove rows that contain NAs in R matrix, we can follow the below steps −
First of all, create a matrix.
Then, use na.omit function to remove rows that contains NAs.
Example
Create the matrix
Let’s create a matrix as shown below −
M<-matrix(sample(c(NA,rpois(10,5)),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,] 4 4 2 NA [2,] 4 NA NA 4 [3,] 4 4 4 6 [4,] 4 3 4 3 [5,] 4 4 4 4 [6,] 4 4 4 4 [7,] 4 4 4 6 [8,] NA 4 4 4 [9,] 4 4 2 4 [10,] 2 4 4 4 [11,] 6 4 NA 3 [12,] NA 3 4 4 [13,] 2 6 3 4 [14,] 4 4 4 NA [15,] NA 4 4 4 [16,] 2 4 3 4 [17,] 4 2 4 4 [18,] 4 4 4 4 [19,] 4 4 NA 4 [20,] 4 4 4 4 [21,] 4 6 2 2 [22,] 3 4 2 4 [23,] 4 4 4 6 [24,] 4 NA 4 NA [25,] NA 4 4 4
Remove rows that contains NAs
Using na.omit function to remove rows that contains NAs in matrix M −
M<-matrix(sample(c(NA,rpois(10,5)),100,replace=TRUE),ncol=4) M<-na.omit(M) M
Output
[,1] [,2] [,3] [,4] [1,] 4 4 4 6 [2,] 4 3 4 3 [3,] 4 4 4 4 [4,] 4 4 4 4 [5,] 4 4 4 6 [6,] 4 4 2 4 [7,] 2 4 4 4 [8,] 2 6 3 4 [9,] 2 4 3 4 [10,] 4 2 4 4 [11,] 4 4 4 4 [12,] 4 4 4 4 [13,] 4 6 2 2 [14,] 3 4 2 4 [15,] 4 4 4 6 attr(,"na.action") [1] 8 12 15 25 2 24 11 19 1 14 attr(,"class") [1] "omit"
Updated on: 15-Nov-2021
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