# 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") + opts(panel.grid.minor = theme_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()+ opts(panel.grid.minor = theme_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"))
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