Row weighted Correspondence Analysis

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Description

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

Usage

1
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

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