| cnnTest {bioimagetools} | R Documentation |
Permutation Test for cross-type nearest neighbor distances
cnnTest(
dist,
n1,
n2,
w = rep(1, n1 + n2),
B = 999,
alternative = "less",
returnSample = TRUE,
parallel = FALSE,
...
)
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 |
a list with the p.value, the observed weighted mean of the cNN-distances, alternative and (if returnSample) the simulated null dist
Fabian Scheipl