# Row weighted Correspondence Analysis

### Description

`dudi.rwcoa`

Row weighted COA, calls `forrwcoa`

to perform row
weighted correspondence analysis.

### Usage

1 |

### Arguments

`df` |
a |

`rowweights` |
a vector of row weights (by default, uniform row weights) |

`...` |
further arguments passed to or from other methods ) |

### Details

Performs row weighted COA. Calls `forrwcoa`

to calculates weights.

### Value

Returns a list of class 'coa', 'rwcoa', and 'dudi' (see `dudi`

)

### Note

In the paper by Culhane et al., 2002, coinertia analysis
was performed with two COAs, a standard `COA`

and a row weighted COA `dudi.rwcoa`

, on
the two gene expression datasets. However it is now recommended to perform
two non-symmetric COA, instead of two COA. This avoids having to force
the row weights from one analysis on the second. To perform
non-symmetric correspondence coinertia analysis, use `bet.coinertia`

.

### Author(s)

Aedin Culhane, A.B. Dufour

### References

Culhane AC, et al., 2003 Cross platform comparison and visualisation of gene expression data using co-inertia analysis. BMC Bioinformatics. 4:59

### See Also

See Also as
`dudi`

,`dudi.coa`

,`dudi.pca`

`bet.coinertia`