MEAheatmap: Plot a heatmap of dyadic cross-correlations

In rMEA: Synchrony in Motion Energy Analysis (MEA) Time-Series

Plot a heatmap of dyadic cross-correlations

Description

Graphical representation of the lagged cross-correlations in time. Provides an intuitive description of synchronization dynamics.

Usage

MEAheatmap(
  mea,
  legendSteps = 10,
  rescale = FALSE,
  colors = c("#F5FBFF", "#86E89E", "#FFF83F", "#E8A022", "#FF3700"),
  bias = 1,
  mirror = TRUE
)

Arguments

mea	an object of class MEA (see function readMEA).
legendSteps	integer. the number of levels used for the color-coding of the legend.
rescale	logical. If TRUE, the color range will represent the minimum and maximum of the data. Otherwise the theoretical correlation range -1 to 1.
colors	a vector of colors defining the plot scale.
bias	a positive number. Allows to skew the color scale. Values larger than 1 give more widely spaced colors at the high end, and vice versa.
mirror	logical. If TRUE, colors are mirrored for negative correlation values. This has effect only if MEAccf was run with ABS=FALSE

Details

The cross-correlation values are rescaled to be in a range from 0 to 1 before plotting.

rMEA documentation built on March 18, 2022, 5:41 p.m.