response.error.timecourse: Plot population distribution of response.error over time

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

Description

Generates a heatmap displaying how the genotypic response error changes over the course of a Pheno-Evo experiment. Time is displayed on the x-axis, the range of possible response error values on the y-axis, and relative abundance given by color. To reduce plot size and complexity, if the input dataframe contains more than 1,000 timepoints, only every 10th timepoint is plotted.

Usage

response.error.timecourse(NLdata, runnum)

Arguments

NLdata	The full dataframe containing data from all BehaviorSpace experiments at all timepoints, imported from NetLogo.
runnum	The run number of the experiment of interest.

Details

See also [switch.rate.timecourse()] and [degrade.rate.timecourse()].

Value

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

Examples

data(PhenoEvoData_4)
response.error.timecourse(PhenoEvoData_run4, 4)

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