calc_discrimAnalysis_args | R Documentation |
The following parameters can be used in the ...
argument in
function getap
, also within function gdmm
, to
override the values in the analysis procedure file and so to modify the
calculation of discriminant analysis models - see examples.
getap(...)
gdmm(dataset, ap=getap(...))
do.da |
Logical. If used in |
da.type |
Character vector. The type of discriminant analysis (DA) to
perform; possible values (one or more) are:
|
da.classOn |
Character vector. One or more class variables to define the grouping used for classification. |
da.testCV |
Logical, if the errors of the test-data should be crossvalidated. If set to true, CV and testing is repeated in alternating datasets. See below. |
da.percTest |
Numeric length one. The percentage of the dataset that should be set aside for testing the models; these data are never seen during training and crossvalidation. |
da.cvBootCutoff |
The minimum number of observations (W) that should be
in the smallest subgroup (as defined by the classification grouping variable)
*AFTER* the split into |
da.cvBootFactor |
The factor used to multiply the number of observations
within the smallest subgroup defined by the classification grouping variable
with, resulting in the number of iterations of a possible bootstrap
crossvalidation of the trainign data – see |
da.valid |
The number of segments the training data should be divided into in case of a "traditional" crossvalidation of the training data; see above. |
da.pcaRed |
Logical, if variable reduction via PCA should be applied; if
TRUE, the subsequent classifications are performed on the PCA scores, see
|
da.pcaNComp |
Character or integer vector. Provide the character "max" to use the maximum number of components (i.e. the number of observations minus 1), or an integer vector specifying the components resp. their scores to be used for DA. |
For a list of all parameters that can be used in the ...
argument in getap
and in the plot
functions
please see anproc_file
.
gdmm
, siWlg
for reducing the number of
wavelengths in a dataset
Other Calc. arguments:
calc_NNET_args
,
calc_SVM_args
,
calc_aqg_args
,
calc_pca_args
,
calc_pls_args
,
calc_randomForest_args
,
calc_sim_args
,
split_dataset
Other Classification functions:
calc_NNET_args
,
calc_SVM_args
,
calc_randomForest_args
,
plot_classifX_indepPred()
Other DA documentation:
plot_da,aquap_cube-method
,
plot_discrimAnalysis_args
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