xda.predict: Classify according to a discriminant analysis fit
In AEBilgrau/Bmisc: Biostatistical miscellaneous functions
Description
Usage
Arguments
Value
Author(s)
Description
Functions to classify new data on the basis of a LDA/QDA fit.
Usage
1
2
3
lda.predict(fit, newdata)
qda.predict(fit, newdata)
Arguments
fit
A list as in the output of qda.fit or
lda.fit.
newdata
A numeric matrix giving the observed quantities. Rows correspond
to observations and columns to variables.
Value
Returns a list with entries:
class
A vector giving the predicted classes of the observations.
posterior
A matrix of posterior probabilities of belonging to the
classes.
Author(s)
Anders Ellern Bilgrau <anders.ellern.bilgrau (at) gmail.com>
AEBilgrau/Bmisc documentation built on May 5, 2019, 11:28 a.m.
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Description Usage Arguments Value Author(s)
Description
Functions to classify new data on the basis of a LDA/QDA fit.
Usage
1 2 3 | lda.predict(fit, newdata)
qda.predict(fit, newdata)
|
Arguments
fit |
A |
newdata |
A numeric matrix giving the observed quantities. Rows correspond to observations and columns to variables. |
Value
Returns a list with entries:
class |
A vector giving the predicted classes of the observations. |
posterior |
A matrix of posterior probabilities of belonging to the classes. |
Author(s)
Anders Ellern Bilgrau <anders.ellern.bilgrau (at) gmail.com>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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