Description Usage Arguments Details Value Author(s) References See Also Examples
bga.suppl
performs a bga
between group analysis with projection
of supplementary points using suppl
1 |
dataset |
Training dataset. A |
supdata |
Test or blind dataset. A |
classvec |
A |
supvec |
A |
suponly |
Logical indicating whether the returned output should contain
the test class assignment results only. The default value is |
type |
Character, "coa", "pca" or "nsc" indicating which data transformation is required. The default value is type="coa". |
... |
further arguments passed to or from other methods. |
bga.suppl
calls bga
to perform between group analysis (bga) on the training dataset,
then it calls suppl
to project the test dataset onto the bga axes.
It returns the coordinates and class assignment of the cases (microarray samples) in the test dataset as
described by Culhane et al., 2002.
The test dataset must contain the same number of variables (genes) as the training dataset.
The input format of both the training dataset and test dataset are verified using isDataFrame
.
Use plot.bga
to plot results from bga.
If suponly
is FALSE (the default option) bga.suppl
returns a list of length 4 containing
the results of the bga
of the training dataset and the results of the projection of the test dataset onto the bga axes-
ord |
Results of initial ordination. A list of class "dudi" (see |
bet |
Results of between group analysis. A list of class "dudi"
(see |
fac |
The input classvec, the factor or vector which described the classes in the input dataset |
suppl |
An object returned by |
If suponly
is TRUE only the results from suppl
will be returned.
Aedin Culhane
Culhane AC, et al., 2002 Between-group analysis of microarray data. Bioinformatics. 18(12):1600-8.
See Also bga
,
suppl
, bca
,
plot.bga
, bga.jackknife
1 2 3 4 5 6 7 8 9 10 |
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