coloredmesh.plot.colorbar.separate: Draw colorbar for coloredmeshes in separate 2D plot.

In neuroconductor/fsbrain: Managing and Visualizing Brain Surface Data

Description

Draw a colorbar for the coloredmeshes to a separate 2D plot. Due to the suboptimal handling of colorbar drawing in the three-dimensional multi-panel views, it is often desirable to plot the colorbar in a separate window, export it from there and then manually add it to the final plot version in some image manipulation software like Inkscape. If you need more control over the colormap than offered by this function (e.g., setting the color value for NA values or making a symmetric colormap to ensure that the zero point for divergent colormaps is a neutral color), you should write custom code, and the return value from this function will come in handy to do that.

Usage

coloredmesh.plot.colorbar.separate(
  coloredmeshes,
  show = FALSE,
  image.plot_extra_options = list(horizontal = FALSE, legend.cex = 1.8, legend.width =
    2, legend.mar = 12, axis.args = list(cex.axis = 5)),
  png_options = list(filename = "fsbrain_cbar.png", width = 1400, height = 1400, bg =
    "#FFFFFF00"),
  silent = FALSE,
  trim_png = TRUE
)

Arguments

coloredmeshes	list of coloredmeshes. A coloredmesh is a named list as returned by the ‘coloredmesh.from' functions. It has the entries ’mesh' of type tmesh3d, a 'col', which is a color specification for such a mesh. The 'vis*' functions (like vis.subject.morph.native) all return a list of coloredmeshes.
show	logical, Whether to open the resulting plot. Defaults to 'TRUE'.
image.plot_extra_options	named list of extra optins to pass to image.plot. This can be used to add a legend to the colorbar, rotate the colorbar, or whatever. The options "legend_only", "zlim", and "col" are computed and set for you by this function, so there is no need to pass these. Your list will be merged with the internal options, so you could overwrite named arguments if needed.
png_options	Options to pass to png, see the docs of that function for details. Allow you to save the plot as a png bitmap image. Example: png_options = list("filename"="fsbrain_cbar.png", "width"=800). Defaults to NULL, which will not save anything.
silent	logical, whether to suppress messages. Defaults to 'FALSE'.
trim_png	logical, whether to trim the output PNG image using image magick, i.e., remove everything but the foreground. Ignored unless an output PNG image is actually written (see 'png_options') and the 'magick' package is installed.

Value

named list, entries: 'output_img_path': character string, the path to the output file, or NULL.

Note

If you increase the output resolution of the colorbar (using 'png_options'), you will have to increase the font sizes as well (using 'image.plot_extra_options'), otherwise the axis and legend labels will be hard to read.

See Also

Other colorbar functions: combine.colorbar.with.brainview.animation(), combine.colorbar.with.brainview.image()

Examples

## Not run: 
   fsbrain::download_optional_data();
   subjects_dir = fsbrain::get_optional_data_filepath("subjects_dir");
   coloredmeshes = vis.subject.morph.native(subjects_dir, 'subject1',
    'thickness', 'lh', views=c('t4'));
   coloredmesh.plot.colorbar.separate(coloredmeshes);

   # Or plot a colorbar with a label:
   coloredmesh.plot.colorbar.separate(coloredmeshes,
    image.plot_extra_options = list("legend.lab"="Thickness [mm]",
    horizontal=TRUE, legend.cex=1.5, legend.line=-3));

## End(Not run)

neuroconductor/fsbrain documentation built on Sept. 16, 2020, 2:30 p.m.