Create a weighted co-occurrence matrix (wecoma)

get_wecoma(
x,
w,
neighbourhood = 4,
classes = NULL,
fun = "mean",
na_action = "replace"
)

## Arguments

x |
A matrix with categories |

w |
A matrix with weights |

neighbourhood |
The number of directions in which cell adjacencies are considered as neighbours:
4 (rook's case) or 8 (queen's case). The default is 4. |

classes |
A vector or a list with the values of selected classes from the `x` object.
It is used to calculate wecoma only for selected classes. |

fun |
Function to calculate values from adjacent cells to contribute to output matrix, `"mean"` - calculate average values from adjacent cells of weight matrix, `"geometric_mean"` - calculate geometric mean values from adjacent cells of weight matrix, or `"focal"` assign value from the focal cell. |

na_action |
Decides on how to behave in the presence of missing values in `w` . Possible options are `"replace"` , `"omit"` , `"keep"` . The default, `"replace"` , replaces missing values with 0, `"omit"` does not use cells with missing values, and `"keep"` keeps missing values. |

## Value

A weighted co-occurrence matrix

## Examples

#> 1 2 3
#> 1 12.0 5.0 13.5
#> 2 5.0 12.0 14.5
#> 3 13.5 14.5 49.0

#> 1 3
#> 1 12.0 13.5
#> 3 13.5 49.0