StabilityLm-class {GeneSelector} | R Documentation

## "StabilityLm"

### Description

An object returned from a call to GetStabilityLm

### Slots

`coefficients`:
  Slopes of the regression with response=ranks from perturbed dataset `b`, `b=1,...,B`, where `B=length(coefficients)`=no. of perturbed datasets and regressor=ranks from original dataset.
`R2vec`:
  A numeric vector of the univariate coefficients of determination (length is equal to that of `coefficients`).
`multivariateR2`:
  The multivariate coefficient of determination.
`residuals`:
  A numeric vector of multivariate residuals. If `E` is the estimated residual matrix, then the residual for gene `i` is `sum(E[i,]^2)`. Note that in contrast to `residuals.unscaled`, the residual matrix `E` has already been rescaled with the square root of the weight matrix.
`residuals.unscaled`:
  As `residuals`, but without re-scaling according to different weights.
`weightscheme`:
  A list that gives information about the weighting scheme used, s. GetStabilityLm

### Methods

show
  Use `show(object)` for brief information.
plot
  Use `plot(object)` for a multivariate residual plot, s. plot,StabilityLm

### Author(s)

Martin Slawski martin.slawski@campus.lmu.de
Anne-Laure Boulesteix http://www.slcmsr.net/boulesteix

### References

Mardia, K.V., Kent, J.T., Bibby, J.M. (1979).
Multivariate Analysis. Academic Press

[Package GeneSelector version 1.2.0 Index]