我有一些数据,我想要得到密度图。对于每个方面,我想使用个性化的数学表达式,但不幸的是,使用Tex函数无法正确显示:
ggplot(data = x, aes(x=.data[[clinical_factor]], y=LBORRES,color=.data[[clinical_factor]]))+
geom_violin()+theme_bw()+
facet_wrap (~POPULATION, ncol=2, scales = "free_y",
labeller = labeller(POPULATION = as_labeller(latex2exp::TeX)))head(x)
DISEASE LBORRES POPULATION OMIC_ID
1: SjS 273 Monocytes 32140214
2: SjS 0 LDGs 32140214
3: SjS 3 CD4$^+$CD8$^+$ T cells 32140214
4: SjS 8 Non classical monocytes 32140214
5: SjS 2490 Neutrophils 32140214
6: SjS 146 B Cells 32140214下面是输出:

你知道如何使用facet包装来处理Math latex符号吗?
发布于 2021-03-17 23:16:37
我没有在您的人口变量中看到数学公式,但是,这可能会对您有所帮助:
library(ggplot2)
library(latex2exp)
df <- data.frame(DISEASE=rep(c('SjS','Control'),each=1000),
LBORRES=matrix(rnorm(2000),ncol=1),
POPULATION=sample(LETTERS[1:6], 2000,replace=T,prob=c(0.15,0.15,0.15,0.15,0.15,0.25)))
#assign labels to the variable you want to use latex2exp:
df$POPULATION <- factor(df$POPULATION,labels=c('A'=parse(text=TeX('Monocyte $\\beta^2$')),
'B'=parse(text=TeX('CD4+CD8+T cells$\\frac{a^2}{b}$')),
'C'=parse(text=TeX('LDGs $\\alpha^2$')),
'D'=parse(text=TeX('Non classical monocytes $\\mu^2$')),
'E'=parse(text=TeX('Neutrophils $\\gamma^2$')),
'F'=parse(text=TeX('B cells $\\alpha^3$'))))
ggplot(data = df, aes(x=DISEASE, y=LBORRES,color=DISEASE))+
geom_violin()+theme_bw()+
facet_wrap (~POPULATION, ncol=2, scales = "free_y",
labeller=label_parsed)这将为您提供如下内容

https://stackoverflow.com/questions/66570971
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