loki - 2 months ago 6

R Question

I have two matrices

`m1`

`m2`

`m1 <- matrix(1:16, ncol = 4)`

m2 <- matrix(16:1, ncol = 4)

# > m1

# [,1] [,2] [,3] [,4]

# [1,] 1 5 9 13

# [2,] 2 6 10 14

# [3,] 3 7 11 15

# [4,] 4 8 12 16

# > m2

# [,1] [,2] [,3] [,4]

# [1,] 16 12 8 4

# [2,] 15 11 7 3

# [3,] 14 10 6 2

# [4,] 13 9 5 1

I want to find the minimum between the two matrices for each cell within a moving kernel of 3x3. The outer margines should be ignored, i.e. they can be filled with

`NAs`

`min`

`na.rm = TRUE`

`# > m3`

# [,1] [,2] [,3] [,4]

# [1,] 1 1 3 3

# [2,] 1 1 2 2

# [3,] 2 2 1 1

# [4,] 3 3 1 1

I have already tried a combination of

`pmin{base}`

`runmin{caTools}`

`pmin(runmin(m1, 3, endrule = "keep"),`

runmin(m2, 3, endrule = "keep"))

However, this did not work. Probably due to the fact that

"If x is a matrix than each column will be processed separately."

(from)`?runmin`

Is there any package, that performs such operations, or is it possible to

`apply`

Answer

Here is a base `R`

approach:

```
m = pmin(m1, m2)
grid = expand.grid(seq(nrow(m)), seq(ncol(m)))
x = apply(grid, 1, function(u) {
min(m[max(1,u[1]-1):min(nrow(m), u[1]+1), max(1,u[2]-1):min(ncol(m), u[2]+1)])
})
dim(x) = dim(m)
#> x
# [,1] [,2] [,3] [,4]
#[1,] 1 1 3 3
#[2,] 1 1 2 2
#[3,] 2 2 1 1
#[4,] 3 3 1 1
```

Source (Stackoverflow)

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