classWeights: Calculate class weights
In pRoloc: A unifying bioinformatics framework for spatial proteomics
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Calculates class weights to be used for parameter optimisation and
classification such as svmOptimisation or
svmClassification - see the pRoloc tutorial
vignette for an example. The weights are calculated for all
non-unknown classes the inverse of the number of
observations.
Usage
1
classWeights(object, fcol = "markers")
Arguments
object
An instance of class MSnSet
fcol
The name of the features to be weighted
Value
A table of class weights
Author(s)
Laurent Gatto
Examples
1
2
3
4
5
library("pRolocdata")
data(hyperLOPIT2015)
classWeights(hyperLOPIT2015)
data(dunkley2006)
classWeights(dunkley2006)
pRoloc documentation built on Nov. 8, 2020, 6:26 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Calculates class weights to be used for parameter optimisation and
classification such as svmOptimisation or
svmClassification - see the pRoloc tutorial
vignette for an example. The weights are calculated for all
non-unknown classes the inverse of the number of
observations.
Usage
1 | classWeights(object, fcol = "markers")
|
Arguments
object |
An instance of class |
fcol |
The name of the features to be weighted |
Value
A table of class weights
Author(s)
Laurent Gatto
Examples
1 2 3 4 5 | library("pRolocdata")
data(hyperLOPIT2015)
classWeights(hyperLOPIT2015)
data(dunkley2006)
classWeights(dunkley2006)
|
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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