forrwcoa {made4} | R Documentation |
dudi.rwcoa
Row weighted COA, calls forrwcoa
to perform row
weighted correspondence analysis.
forrwcoa(df, rowweights = rep(1/nrow(df),nrow(df)))
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 ) |
Performs row weighted COA. Calls forrwcoa
to calculates weights.
Returns a list of class 'coa', 'rwcoa', and 'dudi' (see dudi
)
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 nsc.coinertia
.
Aedin Culhane, A.B. Dufour
Culhane AC, et al., 2003 Cross platform comparison and visualisation of gene expression data using co-inertia analysis. BMC Bioinformatics. 4:59
See Also as
dudi
,dudi.coa
,dudi.pca
nsc.coinertia