vsn {vsn} | R Documentation

## Class to contain result of a vsn fit

### Description

Class to contain result of a vsn fit

### Creating Objects

`new("vsn")` `vsn2(x)` with `x` being an `ExpressionSet`.

### Slots

`coefficients`:
  A 3D array of size (number of strata) x (number of columns of the data matrix) x 2 containing fitted normalization parameters (see vignette).
`strata`:
  A factor of length 0 or n. If its length is n, then its levels correspond to different normalization strata (see vignette).
`mu`:
  A numeric vector of length n with the fitted parameters $hat{μ}_k$, $k=1,...,n$.
`sigsq`:
  A numeric scalar, $hat{σ}$.
`hx`:
  A numeric matrix with 0 or n rows. If the number of rows is n, then `hx` contains the transformed data matrix.
`lbfgsb`:
  An integer scalar containing the return code from the L-BFGS-B optimizer.

### Methods

`[`
  Subset
`dim`
  Get dimensions of data matrix.
`nrow`
  Get number of rows of data matrix.
`ncol`
  Get number of columns of data matrix.
`show`
  Print a summary of the object
`exprs`
  Accessor to slot `hx`.
`coef`, `coefficients`
  Accessors to slot `coefficients`.

### Author(s)

Wolfgang Huber http://www.ebi.ac.uk/huber

### See Also

`vsn2`

### Examples

      data("kidney")
      v = vsn2(kidney)
      show(v)
      dim(v)
      v[1:10, ]

[Package vsn version 3.2.1 Index]