I am trying to set expressions as x-axis text in facet environment in ggplot2
with unequal length of labels. For example:
dat <- structure(list(Species = structure(c(1L, 1L, 1L, 1L, 2L, 2L,
2L, 2L, 2L), .Label = c("A", "B"), class = "factor"), Individual = structure(c(1L,
2L, 3L, 5L, 1L, 2L, 3L, 4L, 5L), .Label = c("1", "2", "3", "4",
"expression(bar(\"x\"))"), class = "factor"), mean = c(45, 32,
100, 59, 65, 110, 87, 93, 88.75), min = c(34, 20, 89, 47.66666667,
54, 100, 67, 85, 76.5), max = c(54, 42, 110, 68.66666667, 76,
120, 99, 105, 100)), .Names = c("Species", "Individual", "mean",
"min", "max"), class = "data.frame", row.names = c(NA, -9L))
require(ggplot2)
This answer describes how to do it without facets. I manage set the labels
, but I cannot find how to set labels for each facet separately:
ggplot(dat, aes(x = Individual, y = mean, ymin = min, ymax = max, color = Species)) +
geom_pointrange() +
facet_wrap(~Species, scales = "free") +
scale_x_discrete(labels = c("1", "2", "3", expression(bar("x")))) +
theme_grey(base_size = 18)
A long vector or a list specifying labels
does not seem to work:
ggplot(dat, aes(x = Individual, y = mean, ymin = min, ymax = max, color = Species)) +
geom_pointrange() +
facet_wrap(~Species, scales = "free") +
scale_x_discrete(labels = c("1", "2", "3", expression(bar("x")), "1", "2", "3", "4", expression(bar("x")))) +
theme_grey(base_size = 18)
ggplot(dat, aes(x = Individual, y = mean, ymin = min, ymax = max, color = Species)) +
geom_pointrange() +
facet_wrap(~Species, scales = "free") +
scale_x_discrete(labels = list(c("1", "2", "3", expression(bar("x")), c("1", "2", "3", "4", expression(bar("x")))))) +
theme_grey(base_size = 18)
Is there a way doing this in ggplot2
?
You can add the breaks arguments to scale_x_discrete:
ggplot(dat, aes(x=Individual, y = mean,ymin = min, ymax = max, color=Species)) +
geom_pointrange() + facet_wrap(~Species, scales = "free_x") +
scale_x_discrete(breaks=levels(factor(dat$Individual)),
labels = c("1", "2", "3", "4", expression(bar("x")))) +
theme_grey(base_size = 18)
As a workaround, you can use scales = "free_y"
:
ggplot(dat, aes(x = Individual, y = mean,
ymin = min, ymax = max, color = Species)) +
geom_pointrange() + facet_wrap(~Species, scales = "free_y") +
scale_x_discrete(labels = c("1", "2", "3", "4", expression(bar("x")))) +
theme_grey(base_size = 18)
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