R: Searches Subsets for Nearest Neighbor Densities

groupwise.density {dissUtils} | R Documentation

## Searches Subsets for Nearest Neighbor Densities

### Description

In order to compare the distributions of different groups within the same multivariate space, calculates the nearest-neighbor densities of each point in the whole data set according to the distribution of each subset.

### Usage

    groupwise.density(X, groups, method = "euclidean", p.neighbors = 0.01, init.info = NULL)

### Arguments

`X` | a matrix of numeric data
`groups` | a factor or vector that can be coerced into a factor, specifying which group each row of `X` belongs to.
`method` | see `diss`
`p.neighbors` | the proportion of each groups neighbors that should be visited. Proportions are necessary when groups have different sizes because otherwise the densities aren't as comparable.
`init.info` | see `diss`

### Value

an `nrow(X)` by `nlevels(as.factor(groups))` matrix of nearest-neighbor density estimates.

[Package dissUtils version 1.0 Index]