cnnTest {bioimagetools} | R Documentation |

## Permutation Test for cross-type nearest neighbor distances

### Description

Permutation Test for cross-type nearest neighbor distances

### Usage

```
cnnTest(
dist,
n1,
n2,
w = rep(1, n1 + n2),
B = 999,
alternative = "less",
returnSample = TRUE,
parallel = FALSE,
...
)
```

### Arguments

`dist` |
a distance matrix, the upper n1 x n1 part contains distances between objects of type 1 the lower n2 x n2 part contains distances between objects of type 2 |

`n1` |
numbers of objects of type 1 |

`n2` |
numbers of objects of type 2 |

`w` |
(optional) weights of the objects (length n1+n2) |

`B` |
number of permutations to generate |

`alternative` |
alternative hypothesis ("less" to test H0:Colocalization ) |

`returnSample` |
return sampled null distribution |

`parallel` |
Logical. Should we use parallel computing? |

`...` |
additional arguments for mclapply |

### Value

a list with the p.value, the observed weighted mean of the cNN-distances, alternative and (if returnSample) the simulated null dist

### Author(s)

Fabian Scheipl

[Package

*bioimagetools*version 1.1.8 Index]