PredictLda-class

Robust Location and Scatter Estimation and Robust
Multivariate Analysis with High Breakdown Point:
principal component analysis (Filzmoser and Todorov (2013), <doi:10.1016/j.ins.2012.10.017>),
linear and quadratic discriminant analysis (Todorov and Pires (2007)),
multivariate tests (Todorov and Filzmoser (2010) <doi:10.1016/j.csda.2009.08.015>),
outlier detection (Todorov et al. (2010) <doi:10.1007/s11634-010-0075-2>).
See also Todorov and Filzmoser (2009) <urn:isbn:978-3838108148>,
Todorov and Filzmoser (2010) <doi:10.18637/jss.v032.i03> and
Boudt et al. (2019) <doi:10.1007/s11222-019-09869-x>.

Valentin Todorov

rrcov

Scalable Robust Estimators with High Breakdown Point

PredictLda-class function

Class "PredictLda" - prediction of "Lda" objects — PredictLda-class

Objects can be created by calls of the form <code>new("PredictLda", ...)</code>
but most often by invoking 'predict' on a "Lda" object. They contain values 
meant for printing by 'show'

Objects from the Class

<dl>
 <dt><code>classification</code>:</dt>
<dd>a factor variable containing the classification of each object</dd>

 <dt><code>posterior</code>:</dt>
<dd>a matrix containing the posterior probabilities</dd>

 <dt><code>x</code>:</dt>
<dd>matrix with the discriminant scores</dd>

 <dt><code>ct</code>:</dt>
<dd>re-classification table of the training sample</dd>

 
</dl>

Slots

<dl>
 <dt>show</dt>
<dd><code>signature(object = "PredictLda")</code>: Prints the results</dd>

 
</dl>

Methods

Valentin Todorov <a href='mailto:valentin.todorov@chello.at'>valentin.todorov@chello.at</a>

PredictLda-class: Class "PredictLda" - prediction of "Lda" objects

Description

Arguments

References

See Also

Examples