给定一个样本数据集:
size = 10000
dist = seq(0, 10, length.out=size)
cohort.kv = list(A=3,B=40,C=44)
cohort = sample(names(cohort.kv), size, TRUE)
cohort.v = mapply(function(v) cohort.kv[[v]], cohort)
across.kv = list(ONE=1,TWO=2,THREE=3)
across = sample(names(across.kv), size, TRUE)
across.v = mapply(function(v) across.kv[[v]], across)
along.kv = list(FIVE=5, EIGHT=8, ELEVEN=11)
along = sample(names(along.kv), size, TRUE)
along.v = mapply(function(v) along.kv[[v]], along)
df = data.frame(
dist=dist, cohort=cohort, across=across, along=along,
value=sin(dist/across.v+cohort.v)*along.v
)
df$across = factor(df$across, levels=names(across.kv))
df$along = factor(df$along, levels=names(along.kv))
我正在尝试将乳胶添加到小平面标签中。This answer解释了如何将latex添加到ggplot标签。下面的代码在轴标签中生成了一个带有latex的多面图,并修改了多面图标签。
library(ggplot2)
# install.packages("latex2exp", dependencies=TRUE)
library(latex2exp)
(
ggplot(df, aes(x=dist, y=value, color=cohort))
+ geom_line()
+ facet_grid(
rows=vars(across),
cols=vars(along),
labeller=labeller(
across=c(ONE="UNO",TWO="DOS",THREE="TRES"),
along=c(FIVE=TeX("$V_5$"),EIGHT=TeX("$V_8$"),ELEVEN=TeX("$V_11$"))
)
)
+ xlab(TeX("Distance ($\\delta$)"))
+ ylab(TeX("Intensity ($\\alpha$)"))
)
行along=c(FIVE=TeX("$V_5$"),EIGHT=TeX("$V_8$"),ELEVEN=TeX("$V_11$"))
应该更改顶部的顶部facet标签,但它没有。
如何将latex添加到面部标签?
发布于 2019-06-10 01:03:09
我相信有一种更好的方法可以做到这一点,但有一种方法是改变级别:
levels(df$across) <- c(ONE="UNO", TWO="DOS", THREE="TRES")
levels(df$along) <- c(FIVE = TeX("$V_5$"), EIGHT = TeX("$V_8$"), ELEVEN = TeX("$V_{11}$"))
然后使用label_parsed作为labeller:
ggplot(df, aes(x=dist, y=value, color=cohort)) +
geom_line() +
facet_grid(
rows=vars(across),
cols=vars(along),
labeller=label_parsed
) +
xlab(TeX("Distance ($\\delta$)")) +
ylab(TeX("Intensity ($\\alpha$)"))
label_parsed将标签解释为绘图数学表达式。
https://stackoverflow.com/questions/56518893
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