forrwcoa {made4} | R Documentation

## Row weighted Correspondence Analysis

### Description

`dudi.rwcoa` Row weighted COA, calls `forrwcoa` to perform row weighted correspondence analysis.

### Usage

    forrwcoa(df, rowweights = rep(1/nrow(df),nrow(df)))

### Arguments

`df` | a `data.frame` containing positive or null values. It should not contain missing (NA) values.
`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`

[Package made4 version 1.68.0 Index]