plotRMSE {speccurvieR} | R Documentation |
Plots RMSE across model specifications.
Description
plotRMSE() plots the root mean square error across model specifications. Only available for linear regression models.
Usage
plotRMSE(sca_data, title = "", showIndex = TRUE, plotVars = TRUE)
Arguments
sca_data |
A data frame returned by 'sca()' containing model estimates from the specification curve analysis. |
title |
A string to use as the plot title. Defaults to an empty string, '""'. |
showIndex |
A boolean indicating whether to label the model index on the the x-axis. Defaults to 'TRUE'. |
plotVars |
A boolean indicating whether to include a panel on the plot showing which variables are present in each model. Defaults to 'TRUE'. |
Value
If 'plotVars = TRUE' returns a grid grob (i.e. the output of a call to 'grid.draw'). If 'plotVars = FALSE' returns a ggplot object.
Examples
plotRMSE(sca_data = sca(y="Salnty", x="T_degC", c("ChlorA", "O2Sat"),
data=bottles, progressBar=TRUE, parallel=FALSE),
title = "RMSE");
plotRMSE(sca_data = sca(y="Salnty", x="T_degC", c("ChlorA*O2Sat"),
data=bottles, progressBar=FALSE, parallel=FALSE),
showIndex = FALSE, plotVars = FALSE);
plotRMSE(sca_data = sca(y="Salnty", x="T_degC",
c("ChlorA*NO3uM", "O2Sat*NO3uM"), data=bottles,
progressBar = TRUE, parallel=TRUE, workers=2));
[Package speccurvieR version 0.3.0 Index]