knnMeanDistance: Find mean k-nearest neighbour distance for each sample
In mattdneal/FAIMSToolkit: Tools to aid in the analysis of FAIMS data
Description
Usage
Arguments
Value
Description
Compute mean k-nn distances for outlier detection
Usage
1
knnMeanDistance(dataMatrix, max.k = 10)
Arguments
dataMatrix
a data matrix
max.k
max k for mean k-nn distance
Value
a nrow(dataMatrix) by k matrix with the mean k-nn
distance for each sample, with k along the columns and samples along the
rows
mattdneal/FAIMSToolkit documentation built on May 21, 2019, 12:57 p.m.
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Description Usage Arguments Value
Description
Compute mean k-nn distances for outlier detection
Usage
1 | knnMeanDistance(dataMatrix, max.k = 10)
|
Arguments
dataMatrix |
a data matrix |
max.k |
max k for mean k-nn distance |
Value
a nrow(dataMatrix) by k matrix with the mean k-nn
distance for each sample, with k along the columns and samples along the
rows
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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