cDNAdata | R Documentation |

Arranges a vector of intensities into a form amenable to analysis by the DDHF and also can restrict the number of genes analysed and also obtain a random sample

```
cDNAdata(data.vect,cdnalength,datasize,ng,nrep)
```

`data.vect` |
The data vector of intensities |

`cdnalength` |
Only considers the first |

`datasize` |
Needs to be a power of two. The number of genes that get
randomly sampled from the first |

`ng` |
The total number of genes described by |

`nrep` |
The number of replicates (should be a power of two) contained
in |

The

`J = ng \times nrep`

vector data.vect should contain first the
intensities of the first replicate of the `ng`

genes',
then the second replicate of all of the `ng`

genes in the
same order, and so on.

This function first puts the one dimensional `data.vect`

into
a matrix form with `ng`

rows and `nrep`

columns (so the
row number indices the gene and the column number the replicate).

Then the first `cdnalength`

rows are extracted and kept, the remaining
rows are discarded.

Then `datasize`

rows at random are extracted and kept and
the remaining rows are discarded.

`cDNAdata` |
The data vector in the proper format to perform Data-Driven Haar-Fisz algorithm |

Efthimios Motakis <e.motakis@bris.ac.uk>

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