Smoothed conditional means — geom_smooth
Aids the eye in seeing patterns in the presence of overplotting. geom_smooth() and stat_smooth() are effectively aliases: they both use the same arguments. Use stat_smooth() if you want to display the results with a non-standard geom. geom_smooth( mapping = NULL, data = NULL, stat = "smooth", position = "identity", ..., method = NULL, formula = NULL, se = TRUE, na.rm = FALSE, orientation = NA, sho
Hexagonal heatmap of 2d bin counts — geom_hex
Divides the plane into regular hexagons, counts the number of cases in each hexagon, and then (by default) maps the number of cases to the hexagon fill. Hexagon bins avoid the visual artefacts sometimes generated by the very regular alignment of geom_bin_2d(). geom_hex( mapping = NULL, data = NULL, stat = "binhex", position = "identity", ..., na.rm = FALSE, show.legend = NA, inherit.aes = TRUE ) s
Contours of a 2D density estimate — geom_density_2d
Perform a 2D kernel density estimation using MASS::kde2d() and display the results with contours. This can be useful for dealing with overplotting. This is a 2D version of geom_density(). geom_density_2d() draws contour lines, and geom_density_2d_filled() draws filled contour bands. geom_density_2d( mapping = NULL, data = NULL, stat = "density_2d", position = "identity", ..., contour_var = "densit
Complete themes — ggtheme
These are complete themes which control all non-data display. Use theme() if you just need to tweak the display of an existing theme. theme_grey( base_size = 11, base_family = "", base_line_size = base_size/22, base_rect_size = base_size/22 ) theme_gray( base_size = 11, base_family = "", base_line_size = base_size/22, base_rect_size = base_size/22 ) theme_bw( base_size = 11, base_family = "", base
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