Default ggplot2 aesthetics table

default_aes.md

Default ggplot2 aesthetics by geom.

geom	alpha	angle	colour	family	fill	fontface	height	hjust	lineheight	linetype	shape	size	stroke	vjust	weight	width	xmax	xmin	ymax	ymin
GeomAbline	NA		black							1		0.5
GeomAnnotationMap	NA		NA		grey20					1		0.5
GeomArea	NA		NA		grey20					1		0.5
GeomBar	NA		NA		grey35					1		0.5
GeomBoxplot	NA		grey20		white					solid	19	0.5			1
GeomCol	NA		NA		grey35					1		0.5
GeomContour	NA		#3366FF							1		0.5			1
GeomCrossbar	NA		black		NA					1		0.5
GeomCurve	NA		black							1		0.5
GeomCustomAnn																	Inf	-Inf	Inf	-Inf
GeomDensity	NA		black		NA					1		0.5			1
GeomDensity2d	NA		#3366FF							1		0.5
GeomDotplot	NA		black		black
GeomErrorbar	NA		black							1		0.5				0.5
GeomErrorbarh	NA		black				0.5			1		0.5
GeomHex	NA		NA		grey50							0.5
GeomHline	NA		black							1		0.5
GeomLabel	NA	0	black		white	1		0.5	1.2			3.88		0.5
GeomLine	NA		black							1		0.5
GeomLinerange	NA		black							1		0.5
GeomLogticks	1		black							1		0.5
GeomMap	NA		NA		grey20					1		0.5
GeomPath	NA		black							1		0.5
GeomPoint	NA		black		NA						19	1.5	0.5
GeomPointrange	NA		black		NA					1	19	0.5	1
GeomPolygon	NA		NA		grey20					1		0.5
GeomQuantile	NA		#3366FF							1		0.5			1
GeomRaster	NA				grey20
GeomRect	NA		NA		grey35					1		0.5
GeomRibbon	NA		NA		grey20					1		0.5
GeomRug	NA		black							1		0.5
GeomSegment	NA		black							1		0.5
GeomSf	NA		NULL		NULL					1	NULL	NULL	0.5
GeomSmooth	0.4		#3366FF		grey60					1		1			1
GeomSpoke	NA		black							1		0.5
GeomStep	NA		black							1		0.5
GeomText	NA	0	black			1		0.5	1.2			3.88		0.5
GeomTile	NA		NA		grey20		NA			1		0.1				NA
GeomViolin	NA		grey20		white					solid		0.5			1
GeomVline	NA		black							1		0.5

Made with the following code:

library(tidyverse)

geom_names <- apropos("^Geom", ignore.case = FALSE)
geoms <- mget(geom_names, env = asNamespace("ggplot2"))
aes_list <- lapply(geoms, function(x) x$default_aes)

clean <- aes_list %>% map(., unclass) %>% discard(is_empty) 

aes_table <- clean %>%
  map_df(., function(x) {
    rbind(x) %>% data.frame(.) %>% mutate_all(., as.character)
  }) %>%
  mutate(geom = names(clean)) %>%
  gather(., key = aes, value = value, -geom, na.rm = T) %>%
  arrange(geom)
  
aes_table_wide <- aes_table %>% 
  spread(., aes, value) %>% 
  replace(., is.na(.), "") %>% 
  knitr::kable(format = "markdown")

Awesome! And where are the palettes info?

@laresbernardo, I don't completely understand your question. Which palettes are you curious about?