plot_in_layout: Arrange ERP plots according to scalp layout

In bnicenboim/eeguana: Flexible Manipulation of EEG Data

Arrange ERP plots according to scalp layout

Description

Arranges a ggplot so that the facet for each channel appears in its position on the scalp.

Usage

plot_in_layout(plot, ...)

## S3 method for class 'gg'
plot_in_layout(plot, .projection = "polar", .ratio = c(1, 1), ...)

Arguments

plot	A ggplot object with channels
...	Not in use.
.projection	.Projection type for converting the 3D coordinates of the electrodes into 2d coordinates. .Projection types available: "polar" (default), "orthographic", or "stereographic"
.ratio	Ratio of the individual panels

Details

This function requires two steps: first, a ggplot object must be created with ERPs faceted by channel (.key). Then, the ggplot object is called in plot_in_layout. The function uses grobs arranged according to .x .y coordinates extracted from the eeg_lst object, by default in polar arrangement. The arrangement can be changed with the .projection argument. White space in the plot can be reduced by changing ratio.

Additional components such as titles and annotations should be added to the plot object using + exactly as you would for ggplot2::ggplot. Title and legend adjustments will be treated as applying to the whole plot object, while other theme adjustments will be treated as applying to individual facets. x-axis and y-axis labels cannot be added at this stage.

Value

A ggplot object

See Also

Other plotting functions: annotate_electrodes(), annotate_events(), annotate_head(), eeg_downsample(), ggplot.eeg_lst(), plot.eeg_lst(), plot_components(), plot_topo(), theme_eeguana()

Other topographic plots and layouts: layout_32_1020, plot_components(), plot_topo()

Examples

library(ggplot2)
# Create a ggplot object with some grand averaged ERPs
ERP_plot <- data_faces_ERPs %>%
  # select a few electrodes
  eeg_select(Fz, FC1, FC2, C3, Cz, C4, CP1, CP2, Pz) %>%
  # group by time point and condition
  eeg_group_by(.sample, condition) %>%
  # compute averages
  eeg_summarize(across_ch(mean, na.rm = TRUE)) %>%
  ggplot(aes(x = .time, y = .value)) +
  # plot the averaged waveforms
  geom_line(aes(color = condition)) +
  # facet by channel
  facet_wrap(~.key) +
  # add a legend and title
  theme(legend.position = "bottom") +
  ggtitle("ERPs for faces vs non-faces")

# Call the ggplot object with the layout function
plot_in_layout(ERP_plot)

bnicenboim/eeguana documentation built on March 16, 2024, 7:21 a.m.