plotComplex: Visualize ERP curves and scalp topographies
In tdeenes/eegR: Analyze EEG Signals

plotComplex is a workhorse function called by plotButterfly and plotMap.

plotComplex(
  dat,
  sig = NULL,
  topo_time = NULL,
  chan_pos = NULL,
  subset = list(),
  plot_curves = TRUE,
  pcrit = 0.05,
  aspect_ratio = 0.5,
  scalp_ratio = 0.5,
  ampl_range = NULL,
  map_marker_colour = "red",
  map_marker_shape = 16,
  map_marker_size = 1,
  ggplot_theme = theme_ndys,
  ...
)

`dat`	the array of ERP curves which must have at least 'time' and/or 'chan' dimensions
`sig`	[optional] a corresponding array to `dat` which is used to highlight significant time windows. It must have at least 'time' and measure' dimensions. The 'measure' dimension must have 'p' and 'p_corr' levels indicating the uncorrected ('p') and corrected ('p_corr') p-values.
`topo_time`	[optional] an object which describes the time points at which the scalp topographies should be plotted. Can be a simple atomic vector or a data.frame if the time points are not identical across the faceting dimension(s).
`chan_pos`	a data.frame of channel positions. Obligatory if `topo_time` is not `NULL`.
`subset`	a named list to subset the input arrays; see `subsetArray`
`pcrit`	the level of alpha to highlight significant effects
`aspect_ratio`	the ratio of `y` and `x` axes (default: 0.5) on the figure. If NULL, it is set automatically. If 'topo_time' is provided, user-defined 'aspect_ratio' might be adjusted to avoid overlapping scalp maps.
`scalp_ratio`	the ratio of the diameter of the scalp and the vertical range of the ERP curves on the figure
`ampl_range`	the range of amplitudes to plot. If `NULL` (default), it is computed from the data.
`map_marker_colour, map_marker_shape, map_marker_size`	the colour, shape, and size of the marker used to mark the exact time points of the maps
`ggplot_theme`	a function which produces a ggplot theme (default: theme_ndys)
`...`	additional arguments passed to `topoCoord`