estLocCor {BiSeq} | R Documentation

## Estimates the correlations of the z-scores

### Description

For each location the correlation of this location's z-score to \bar{Z} of its CpG cluster is estimated.

### Usage

    estLocCor(vario.sm)

### Arguments

`vario.sm` | Output of `smoothVariogram`.

### Value

A list:

`variogram` | A variogram matrix, usually created by `smoothVariogram` beforehand.
`pValsList` | A list of the test results per CpG cluster.
`sigma.cluster` | The standard deviations of z-scores within each cluster.
`Z.cluster` | The arithmetic means of the z-scores for each cluster.
`length.cluster` | The widths (number of pase pairs) of each cluster.

### Author(s)

Katja Hebestreit

### References

Yoav Benjamini and Ruth Heller (2007): False Discovery Rates for Spatial Signals. American Statistical Association, 102 (480): 1272-81.

### See Also

`makeVariogram`, `smoothVariogram`

### Examples

    data(betaResultsNull)

    vario <- makeVariogram(betaResultsNull)
    vario.sm <- smoothVariogram(vario, sill = 1)

    locCor <- estLocCor(vario.sm)

[Package BiSeq version 1.27.3 Index]