sample_dist_to_knn: calculates vector of nearest of nearest neighbors
In kcucchi/vdke: Variable Kernel Density Estimation methods

sample_dist_to_knn calculates kth-nearest-neighbor distances from a sample.

1	sample_dist_to_knn(sampleDat, k)

`sampleDat`	vector containing sample datapoints.
`k`	integer specifying the order of the neighbor.

These are the details of the function.

a vector of distances, where the ith element contains the distance between the ith element of sampleDat and its kth neighbor.

1 2	sample_dist_to_knn(sampleDat = 1:4,k = 3) sample_dist_to_knn(sampleDat = array(1:12,dim = c(3,4)),k = 1)

kcucchi/vdke documentation built on May 20, 2019, 8:28 a.m.

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