plotRMSE: Plots RMSE across model specifications.

In speccurvieR: Easy, Fast, and Pretty Specification Curve Analysis

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));

speccurvieR documentation built on Oct. 10, 2024, 1:08 a.m.