R 更改标签字体大小，但在使用ggtext时也更改了x axia标签顺序
@teunbrand无法完全解决我的问题 他给了我一条建议，但我被它弄糊涂了 尽管我得到了所需的，但在使用R 更改标签字体大小，但在使用ggtext时也更改了x axia标签顺序,r,ggplot2,ggtext,R,Ggplot2,Ggtext,@teunbrand无法完全解决我的问题 他给了我一条建议，但我被它弄糊涂了 尽管我得到了所需的，但在使用big\u label\u md函数后，x轴标签出现故障 现在我想得到正确的标签顺序。最大的问题是，如果我只更改一个标签的字体大小，底部标签将保持正确的顺序。但是，当我修改两个或多个（查看我的代码）标签的字体大小时，所有标签都会出现问题 以下是我的可复制数据和代码： library(ggplot2) library(ggtext) data<-structure(list(Name
big\u label\u md函数后，x轴标签出现故障
现在我想得到正确的标签顺序。最大的问题是，如果我只更改一个标签的字体大小，底部标签将保持正确的顺序。但是，当我修改两个或多个（查看我的代码）标签的字体大小时，所有标签都会出现问题
以下是我的可复制数据和代码：
library(ggplot2)
library(ggtext)
data<-structure(list(Name = structure(58:68, .Label = c("1_control",
"1_CCM(Kit1 ko)", "2_control", "2_CCM(Pdcd20 ko)", "3_control",
"3_1 day", "3_3 days", "3_1 month", "4_control", "4_1 day", "4_3 days",
"4_1 month", "5_control", "5_1 day", "5_3 days", "5_1 month",
"6_control", "6_TBI(1 day)", "7_control", "7_TBI(3 day)", "8_control",
"8_TBI(1 month)", "9_control", "9_VEGF", "10_control", "10_VEGF",
"11_Brain Healty", "12_control_1", "12_control_2", "12_AOD(Jnk1/2/3 ko)",
"13_control", "13_Cpt1_ko(Cdh5 driven)", "14_control", "14_Tsc2ko(Tbx4 driven)",
"15_control", "15_Zmpste24 ko", "16_control", "16_Adrenomedullin\nko(Cdh5 driven)",
"17_Lung Healthy", "18_control(14w)", "18_carboplatin(14w)",
"18_radiation(14w)", "18_6 weeks", "18_70 weeks", "19_ECs(bone marrow)",
"20_control", "20_diabetic nephropathy", "21_control", "21_Alport syndrome",
"22_control", "22_Alport syndrome", "23_Kidney Healthy", "24_control",
"24_Differentiated", "25_Heart Healthy", "26_control", "26_Tumor",
"27_control", "27_Nonalcoholic\nsteatohepatitis", "28_Liver Healthy",
"29_control", "29_autoimmune uveitis", "30_control", "30_facioscapulohumeral\nmuscular dystrophy",
"31_control", "31_RANKL ko", "32_control", "32_Notch1 +/vg",
"32_Notch1 +/12", "32_Notch1 +/-", "32_Notch1 -/12"), class = "factor"),
Disease = structure(c(27L, 27L, 28L, 29L, 29L, 30L, 30L,
31L, 31L, 32L, 32L), .Label = c("CCM\nmodel1", "CCM\nmodel2",
"Epilepsy", "EAE", "Stroke", "TBI\n1day", "TBI\n3day", "TBI\n1month",
"VEGF\nsti_DG\nregion", "VEGF\nsti_CA1\nregion", "Healthy\n(Brain)",
"AOD", "CPT1\nko", "Tsc2\nko", "Zmpste\n_24 ko", "AM\nko",
"Healthy\n(Lung)", "Chemo\nRadio\n(Tibiae)", "ECs\n(BM)",
"diabetic\nnephro\n_pathy", "Alport\nsyndrome\nEC\npopulation1",
"Alport\nsyndrome\nEC\npopulation2", "Healthy\n(Kidney)",
"Aorta", "Healthy\n(Heart)", "Tumor", "NASH", "Healthy\n(Liver)",
"EAU", "FSHD", "RANKL\nko", "Notch1\nmodified"), class = "factor"),
Organ = structure(c(6L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L, 10L,
10L), .Label = c("Brain", "Lung", "Bone", "Kidney", "Aorta",
"Liver", "Retina", "Mus", "Lymp", "Embryo"), class = "factor"),
fill = c("#FFFFFF", "#00F5FF", "#FFFFFF", "#FFFFFF", "#666666",
"#FFFFFF", "#7FC97F", "#FFFFFF", "#BEAED4", "#FFFFFF", "#A6D854"
), Condition = c("#CCCCFF", "#CCCCFF", "#CCCCFF", "#CCCCFF",
"#CCCCFF", "#CCCCFF", "#CCCCFF", "#fbb03b", "#fbb03b", "#fbb03b",
"#fbb03b"), Organ_fill = c("#00F5FF", "#00F5FF", "#00F5FF",
"#666666", "#666666", "#7FC97F", "#7FC97F", "#BEAED4", "#BEAED4",
"#A6D854", "#A6D854"), mean = c(3219.28563479013, 2427.32556269574,
1552.81582140235, 394.765393523994, 420.454351698853, 1295.47692129111,
1357.53823242958, 1352.71703262044, 1319.89488759262, 4.78327819764262,
6.86013366170554), sd = c(641.298872189499, 338.296364941458,
254.748027714364, 17.1375059099585, 100.491982520438, 49.0693043847785,
191.034062908029, 105.031407429784, 185.916546617784, 1.21846060820158,
3.38993644072368)), row.names = 58:68, class = "data.frame")
data
########
big_label_md <- function(x, label_only_this = c("Liver","Retina","Embryo"), size = 14, color = "black") {
if (is.null(label_only_this)) {
paste0("<span style='font-size:", size, "pt; color:", color, "'>", x, "</span>")
} else {
ifelse(x %in% label_only_this,
paste0("<span style='font-size:", size,
"pt; color:", color, "'>", x, "</span>"),
as.character(x))
}
}
ggplot(data = data, aes(Name,mean, label = Name,fill=Organ)) +
geom_bar(position="dodge2", stat="identity",width = 0.85,color="black") +
# Wrap label in helper function
facet_nested(.~big_label_md(Organ) + Disease,
scales="free",switch = "x",nest_line = TRUE)+
theme_classic() +
theme(legend.text = element_markdown())+
theme(
plot.title = element_text(hjust = 0.5),
plot.margin = unit(c(5, 10, 10, 10), "mm"),
strip.background = element_rect(colour="black", fill="white"),
strip.placement = "outside",
strip.text.x = element_markdown())
库（ggplot2）
图书馆（ggtext）
data@teunbrand先生，希望您能在业余时间帮助我。我不明白为什么新创建的函数不会影响图例标签。我认为ggtext包适合我的问题，但我没有发现与我的问题相关或类似的内容。如果这个问题很难解决，我可以放弃这个方法。