response.error.heatmap: Heatmap showing average response error in many Pheno-Evo...

In jessicaaudreylee/PhenoEvoR: Tools for analysis of NetLogo Pheno-Evo model results

Description

This plot shows three dimensions of data: two experimental parameters (for instance, toxin concentration and diffusion rate) as axes, and the population average response errors as color gradient from light to dark purple. It is a snapshot of several experiments from a parameter sweep, at a single timepoint.

Usage

response.error.heatmap(ends.df, xvar, yvar)

Arguments

ends.df	Dataframe of endpoint data, generated by extract.endpoint(). Must contain a mean.reponse.error column (use [summarize.endpoint()])
xvar	Experimental parameter for plotting on x-axis. Must be a column name of ends.df, with no quotation marks.
yvar	Experimental parameter for plotting on y-axis. Must be a column name of ends.df, with no quotation marks.

Details

As with other endpoint-summary plots, this function can be used with data from any timepoint, as long as the ends.df dataframe contains data from only one timepoint per run number. For a function to create a heatmap with any variable you wish (instead of response error), see [phenoevo.heatmap()].

Value

A ggplot object using geom_tile. This can be modified in the typical ggplot way by adding layers, scales, etc.

Examples

data(PE.ends)
response.error.heatmap(PE.ends, toxin.conc, env.noise)

jessicaaudreylee/PhenoEvoR documentation built on Sept. 7, 2020, 3:50 a.m.