plotRFtuning: draw plots to highlight the results of ranfomForest tuning
In elqumsan/RNAseqMVA: Application of Multivariate Analysis methods to RNA-seq Data
Description
Usage
Arguments
Value
Author(s)
View source: R/tune_classifiers.R
Description
draw a series of plots highlighting the impact of the parameters (mtry, ntree) on the performances (miclassification error rate) of randomForest
Usage
1
plotRFtuning(tuningResult, pdfFile = NULL, ...)
Arguments
tuningResult
result of TuneClassifiers() run with option tuneRandomForest=TRUE, and where vectors of values were provided for mtry and ntree
...
additional parameters are passed to plot()
pdfFile=NULL
if not null, the plot is exported in pdf format the specified file. Else it is printed out on the current device.
Value
no return field
Author(s)
Jacques van Helden
elqumsan/RNAseqMVA documentation built on March 10, 2021, 8:10 a.m.
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Description Usage Arguments Value Author(s)
View source: R/tune_classifiers.R
Description
draw a series of plots highlighting the impact of the parameters (mtry, ntree) on the performances (miclassification error rate) of randomForest
Usage
1 | plotRFtuning(tuningResult, pdfFile = NULL, ...)
|
Arguments
tuningResult |
result of TuneClassifiers() run with option tuneRandomForest=TRUE, and where vectors of values were provided for mtry and ntree |
... |
additional parameters are passed to plot() |
pdfFile=NULL |
if not null, the plot is exported in pdf format the specified file. Else it is printed out on the current device. |
Value
no return field
Author(s)
Jacques van Helden
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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