plot_RMSE: plot_RMSE
In PROMiDAT/regresoR: Regression Data Analysis System
View source: R/mod_dimension_reduction_utils.R
plot_RMSE R Documentation
plot_RMSE
Description
graph the root mean square error of cross validation according to components used.
Usage
plot_RMSE(
model,
n.comp,
titles = c("RMSE Segun Numero de Componentes", "Numero de Componente", "RMSE")
)
Arguments
model
a dimension reduction model.
n.comp
the optimum number of components.
titles
labels on the chart
Value
echarts4r plot
Author(s)
Ariel Arroyo <luis.ariel.arroyo@promidat.com>
PROMiDAT/regresoR documentation built on July 8, 2023, 3 p.m.
R Package Documentation
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View source: R/mod_dimension_reduction_utils.R
| plot_RMSE | R Documentation |
plot_RMSE
Description
graph the root mean square error of cross validation according to components used.
Usage
plot_RMSE(
model,
n.comp,
titles = c("RMSE Segun Numero de Componentes", "Numero de Componente", "RMSE")
)
Arguments
model |
a dimension reduction model. |
n.comp |
the optimum number of components. |
titles |
labels on the chart |
Value
echarts4r plot
Author(s)
Ariel Arroyo <luis.ariel.arroyo@promidat.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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