# How to Remove NA from Matrix in R (With Example)

You can use the following methods to remove NA values from a matrix in R:

Method 1: Remove Rows with NA Values

```new_matrix <- my_matrix[!rowSums(is.na(my_matrix)),]
```

Method 2: Remove Columns with NA Values

`new_matrix <- my_matrix[, !colSums(is.na(my_matrix))]`

The following examples show how to use each method in practice with the following matrix in R:

```#create matrix
my_matrix <- matrix(c(NA, 0, NA, 5, 7, 4, 1, 3, 9, 5, 5, 8), nrow=4)

#view matrix
my_matrix

[,1] [,2] [,3]
[1,]   NA    7    9
[2,]    0    4    5
[3,]   NA    1    5
[4,]    5    3    8
```

## Method 1: Remove Rows with NA Values

The following code shows how to remove all rows from the matrix that contain NA values:

```#remove all rows with NA values
new_matrix <- my_matrix[!rowSums(is.na(my_matrix)),]

#view updated matrix
new_matrix

[,1] [,2] [,3]
[1,]    0    4    5
[2,]    5    3    8```

Notice that all rows with NA values have been removed from the matrix.

## Method 2: Remove Columns with NA Values

The following code shows how to remove all columns from the matrix that contain NA values:

```#remove all columns with NA values
new_matrix <- my_matrix[, !colSums(is.na(my_matrix))]

#view updated matrix
new_matrix

[,1] [,2]
[1,]    7    9
[2,]    4    5
[3,]    1    5
[4,]    3    8```

Notice that all columns with NA values have been removed from the matrix.

## Bonus: Convert NA Values to Zero in Matrix

If you simply want to convert all NA values to zero in a matrix, you can use the following syntax:

```#remove all columns with NA values
my_matrix[is.na(my_matrix)] <- 0

#view updated matrix
my_matrix

[,1] [,2] [,3]
[1,]    0    7    9
[2,]    0    4    5
[3,]    0    1    5
[4,]    5    3    8```

Notice that all NA values have been converted to zero.