Annotation: tick marks

This annotation adds tick marks to an axis

annotation_ticks(sides = "b", scale = "identity", scaled = TRUE,
  short = unit(0.1, "cm"), mid = unit(0.2, "cm"), long = unit(0.3,
  "cm"), colour = "black", size = 0.5, linetype = 1, alpha = 1,
  color = NULL, ticks_per_base = NULL, ...)

Arguments

sides	a string that controls which sides of the plot the log ticks appear on. It can be set to a string containing any of "trbl", for top, right, bottom, and left.
scale	character, vector of type of scale attributed to each corresponding side, Default: 'identity'
scaled	is the data already log-scaled? This should be TRUE (default) when the data is already transformed with log10() or when using scale_y_log10. It should be FALSE when using coord_trans(y = "log10").
short	a grid::unit() object specifying the length of the short tick marks
mid	a grid::unit() object specifying the length of the middle tick marks. In base 10, these are the "5" ticks.
long	a grid::unit() object specifying the length of the long tick marks. In base 10, these are the "1" (or "10") ticks.
colour	Colour of the tick marks.
size	Thickness of tick marks, in mm.
linetype	Linetype of tick marks (solid, dashed, etc.)
alpha	The transparency of the tick marks.
color	An alias for colour.
ticks_per_base	integer, number of minor ticks between each pair of major ticks, Default: NULL
...	Other parameters passed on to the layer

Details

If scale is of length one it will be replicated to the number of sides given, but if the length of scale is larger than one it must match the number of sides given. If ticks_per_base is set to NULL the function infers the number of ticks per base to be the base of the scale - 1, for example log scale is base exp(1) and log10 and identity are base 10. If ticks_per_base is given it follows the same logic as scale.

Examples

p <- ggplot(msleep, aes(bodywt, brainwt)) + geom_point()

# Default behavior

# add identity scale minor ticks on y axis
p + annotation_ticks(sides = 'l')
#> Warning: Removed 27 rows containing missing values (geom_point).

# add identity scale minor ticks on x,y axis
p + annotation_ticks(sides = 'lb')
#> Warning: Removed 27 rows containing missing values (geom_point).

# Control number of minor ticks of each side independently

# add identity scale minor ticks on x,y axis
p + annotation_ticks(sides = 'lb', ticks_per_base = c(10,5))
#> Warning: Removed 27 rows containing missing values (geom_point).

# log10 scale
p1 <- p + scale_x_log10()

# add minor ticks on log10 scale
p1 + annotation_ticks(sides = 'b', scale = 'log10')
#> Warning: Removed 27 rows containing missing values (geom_point).

# add minor ticks on both scales
p1 + annotation_ticks(sides = 'lb', scale = c('identity','log10'))
#> Warning: Removed 27 rows containing missing values (geom_point).

# add minor ticks on both scales, but force x axis to be identity
p1 + annotation_ticks(sides = 'lb', scale = 'identity')
#> Warning: Removed 27 rows containing missing values (geom_point).

# log scale
p2 <- p + scale_x_continuous(trans = 'log')

# add minor ticks on log scale
p2 + annotation_ticks(sides = 'b', scale = 'log')
#> Warning: Removed 27 rows containing missing values (geom_point).

# add minor ticks on both scales
p2 + annotation_ticks(sides = 'lb', scale = c('identity','log'))
#> Warning: Removed 27 rows containing missing values (geom_point).

# add minor ticks on both scales, but force x axis to be identity
p2 + annotation_ticks(sides = 'lb', scale = 'identity')
#> Warning: Removed 27 rows containing missing values (geom_point).