ggplot2
R package for declarative data visualization
Discover why extracting individual ggplots from cowplot::plot_grid() is challenging and learn workarounds using get_plot_component, grob inspection, reconstruction techniques, and alternatives like patchwork for R data visualization.
Learn how to automatically adjust ggplot2 plot margins or width to prevent clipping of secondary y-axis labels in facet_wrap or ggh4x::facet_wrap2. Programmatic solutions using grob widths, gtable, and ggh4x alternatives for purrr::map workflows.
Learn how to adjust label intervals in ggplot2's geom_contour_filled legend using guide_colorsteps parameters to prevent text overlapping and improve visualization readability.
Learn how to plot two normal probability density functions on a single graph in R using lines(), par(new = TRUE), or ggplot2 for a clean overlay and add legends.