R: UPDATE DISTANCE

updateDistance {ecp} | R Documentation

## UPDATE DISTANCE

### Description

Update the distance between the newly created segment and the other segments.

### Usage

    updateDistance(i,j,K,ret)

### Arguments

`i` | The segment that makes up the left portion of the new segment.
`j` | The segment that makes up the right portion of the new segment.
`K` | Integer indicating the progress of the agglomerative process.
`ret` | A list with 'gof', 'list', 'N', 'sizes', 'right', 'left', 'open', 'D', and 'lm' components.

### Details

This method is called by the e.agglomerative method, and should not be called by the user.

### Value

Returns a list with the following components.

`gof` | Vector showing the progression of the goodness of fit statistic.
`list` | Matrix showing the progression of the set of change points.
`N` | Number of initial segments.
`sizes` | Sizes of each segment during the agglomerative process.
`right` | Vector containing indices of the right adjacent segments.
`left` | Vector containing indices of the left adjacent segments.
`open` | Vector indicating if a segment has been merged.
`D` | Matrix of distances between segments.
`lm` | Vector containing indices of the starting point of a segment.

### Author(s)

Nicholas A. James

### References

James NA, Matteson DS (2013). A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data.

Nicholas A. James, David S. Matteson (2014). "ecp: An R Package for Nonparametric Multiple Change Point Analysis of Multivariate Data.", "Journal of Statistical Software, 62(7), 1-25", URL "http://www.jstatsoft.org/v62/i07/"

Rizzo ML, Szekely GL (2005). Hierarchical clustering via joint between-within distances: Extending ward's minimum variance method. Journal of Classification. pp. 151 - 183.

### See Also

`e.agglo`

[Package ecp version 3.0.0 Index]