I have used the following ggplot
command:
ggplot(survey, aes(x = age)) + stat_bin(aes(n = nrow(h3), y = ..count.. / n), binwidth = 10)
+ scale
I feel like I should add my answer to this because it took me quite long to make this work:
This answer is for you if:
bquote
) in your labels and I basically put the labels in a named vector so labels would not get confused or switched. The labeller
expression could probably be simpler, but this at least works (improvements are very welcome). Note the ` (back quotes) to protect the facet-factor.
n <- 10
x <- seq(0, 300, length.out = n)
# I have my data in a "long" format
my_data <- data.frame(
Type = as.factor(c(rep('dl/l', n), rep('alpha', n))),
T = c(x, x),
Value = c(x*0.1, sqrt(x))
)
# the label names as a named vector
type_names <- c(
`nonsense` = "this is just here because it looks good",
`dl/l` = Linear~Expansion~~Delta*L/L[Ref]~"="~"[%]", # bquote expression
`alpha` = Linear~Expansion~Coefficient~~alpha~"="~"[1/K]"
)
ggplot() +
geom_point(data = my_data, mapping = aes(T, Value)) +
facet_wrap(. ~ Type, scales="free_y",
labeller = label_bquote(.(as.expression(
eval(parse(text = paste0('type_names', '$`', Type, '`')))
)))) +
labs(x="Temperature [K]", y="", colour = "") +
theme(legend.position = 'none')