plot_ppc_combi: Create PPC plot for one or more datasets

In cvasi: Calibration, Validation, and Simulation of TKTD Models

Create PPC plot for one or more datasets

Description

The function expects a data.frame with four mandatory and one optional column. The mandatory columns are as follows:

• pred: mean of predictions e.g. frond number for lemna

• max: maximum of predictions

• min: minimum of predictions

• obs: observations The optional column is to be named study and contains a study identifier. If more than one study identifier is present in the table, individual studies will be plotted in different colors and a legend will be displayed. The function is called by plot_ppc where the column names are defined (see rs_ppc object).

Usage

plot_ppc_combi(table, xy_lim = NULL)

Arguments

table	data.frame containing return values of calls to plot_ppc()
xy_lim	optional numeric, limits of x and y axis for plotting

Value

a ggplot2 plot object

cvasi documentation built on Sept. 23, 2024, 9:08 a.m.