ggplot2 (version 1.0.0)

annotation_logticks: Annotation: log tick marks

Description

This annotation adds log tick marks with diminishing spacing. These tick marks probably make sense only for base 10.

Usage

annotation_logticks(base = 10, sides = "bl", 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,
  ...)

Arguments

base

the base of the log (default 10)

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.

short

a unit object specifying the length of the short tick marks

mid

a unit object specifying the length of the middle tick marks. In base 10, these are the "5" ticks.

long

a unit object specifying the length of the long tick marks. In base 10, these are the "1" (or "10") ticks.

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")

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.

...

Other parameters passed on to the layer

See Also

scale_y_continuous, scale_y_log10 for log scale transformations.

coord_trans for log coordinate transformations.

Examples

Run this code

# Make a log-log plot (without log ticks)
library(MASS)
library(scales)
a <- ggplot(Animals, aes(x = body, y = brain)) + geom_point() +
     scale_x_log10(breaks = trans_breaks("log10", function(x) 10^x),
                   labels = trans_format("log10", math_format(10^.x))) +
     scale_y_log10(breaks = trans_breaks("log10", function(x) 10^x),
                   labels = trans_format("log10", math_format(10^.x))) +
     theme_bw()

a + annotation_logticks()                # Default: log ticks on bottom and left
a + annotation_logticks(sides = "lr")    # Log ticks for y, on left and right
a + annotation_logticks(sides = "trbl")  # All four sides

# Hide the minor grid lines because they don't align with the ticks
a + annotation_logticks(sides = "trbl") + theme(panel.grid.minor = element_blank())


# Another way to get the same results as 'a' above: log-transform the data before
b <- ggplot(Animals, aes(x = log10(body), y = log10(brain))) + geom_point() +
     scale_x_continuous(name = "body", labels = math_format(10^.x)) +
     scale_y_continuous(name = "brain", labels = math_format(10^.x)) +
     theme_bw()+ theme(panel.grid.minor = element_blank())

b + annotation_logticks()


# This shows log(x) on the axes
d <- ggplot(Animals, aes(x = log10(body), y = log10(brain))) + geom_point() +
     theme_bw()

d + annotation_logticks()


# Using a coordinate transform requires scaled = FALSE
t <- ggplot(Animals, aes(x = body, y = brain)) + geom_point() +
     coord_trans(xtrans = "log10", ytrans = "log10") + theme_bw()

t + annotation_logticks(scaled = FALSE)


# Change the length of the ticks
library(grid)
a + annotation_logticks(short = unit(.5,"mm"), mid = unit(3,"mm"), long = unit(4,"mm"))

Run the code above in your browser using DataLab