问题描述
我有此代码，目前正在为2位患者显示，但我必须将3条记录分组并为15位以上的患者显示。 目前，我为每个患者提供以下因素，但是有什么方法可以在grep中使用factor，这样我的因素就不会变得那么乏味
pat_paste_c<-factor(pat_paste_c,levels=c('Pat_1_IT-6','Pat_1_IT-7','Pat_1_IT-8',"Pat_2_IT-6","Pat_2_IT-7","Pat_2_IT-8"),ordered = TRUE)
c<- data.frame(Var=character(),Pat_1=double(),Pat_2=double(),stringsAsFactors=FALSE)
x<-data.frame("IT-6",4,3)
names(x)<-c('Var','Pat_1','Pat_2')
c<-rbind(c,x)
x<-data.frame("IT-7",2,8)
names(x)<-c('Var',x)
x<-data.frame("IT-8",7)
names(x)<-c('Var',x)
c_melt<-melt(c,id = c("Var"))
c_melt<-dplyr::rename(c_melt,"Patient"="variable")
c_melt$col<-ifelse(grepl("Pat_1",c_melt$Patient),"pink2","yellow3")
pat_paste_c<-paste(c_melt$Patient,c_melt$Var,sep='_')
pat_paste_c<-factor(pat_paste_c,ordered = TRUE)
ggplot(data=c_melt,aes(x=pat_paste_c,y=value,fill=col,group=Patient))+
geom_bar(stat="identity",width=0.9,position=position_dodge(width = 0.9))+
geom_hline(aes(yintercept=70),color="Red")+
labs(y="display(%)",x="")+
scale_x_discrete(limits = c(levels( pat_paste_c)[1:3],"",levels(pat_paste_c)[4:6],""))+
theme(axis.title.x = element_blank(),axis.text.x = element_text(size=12,angle=0,vjust = 0.5,face = c( 'bold')),panel.grid.major.x = element_blank(),panel.grid.minor.x = element_blank())+
theme(axis.ticks=element_line(colour = "black"),panel.border = element_rect(colour = "black",fill=NA,size=0.5),panel.background = element_blank(),axis.title.y = element_text(size=15,vjust = 0.5),axis.text.y=element_text(size=12,vjust = 0.5))+
theme(legend.position = "none")+ scale_fill_identity()+
scale_y_continuous(breaks = seq(0,9,1),limits = c(0,9),expand = c(0,0))
New Data
c<- data.frame(Var=character(),Expected=double(),'Expected',x)
x<-data.frame("IT-7",3,x)
x<-data.frame("IT-8",id = c("Var"))
c_melt<-dplyr::rename(c_melt,"Patient"="variable")
c_melt$col<-ifelse(grepl("Expected","gray88","grey60")
> c_melt
Var Patient value col
1 IT-6 Expected 2 gray88
2 IT-7 Expected 3 gray88
3 IT-8 Expected 4 gray88
4 IT-6 Pat_1 4 grey60
5 IT-7 Pat_1 2 grey60
6 IT-8 Pat_1 2 grey60
7 IT-6 Pat_2 3 grey60
8 IT-7 Pat_2 8 grey60
9 IT-8 Pat_2 7 grey60
```
解决方法
这能解决您的问题吗？
insert_every_n <- function(x,every_n,what = NA) {
n0 <- length(x); n1 <- (n0 - 1L) %/% every_n
every_n <- every_n + 1L
full_seq <- seq_len(n0 + n1)
offset <- (full_seq - 1L) %/% every_n
pos <- which(full_seq %% every_n == 0L)
`[<-`(x[full_seq - offset],pos,what)
}
pat_seq <- 1:15
var_seq <- 6:8
values <- c(4,2,3,8,7,sample.int(9,39,replace = T)) # put here values for each (Pat,IT) pair
colors <- c(
"pink2","yellow3","burlywood4","aquamarine4","chocolate3","cornflowerblue","brown2","darkolivegreen1","darkorchid1","firebrick4","darkslategray","gray","indianred4","lightgoldenrod4","ivory3"
)
df <- data.frame(
Patient = paste0("Pat_",rep(pat_seq,each = length(var_seq))),Var = paste0("IT-",rep(var_seq,length(pat_seq))),value = values,col = rep(colors,each = length(var_seq))
)
df$PatientVar <- with(df,paste(Patient,Var,sep = "_"))
df$PatientVar <- with(df,factor(PatientVar,levels = PatientVar)) # here we keep the order "as is"
ggplot(data=df,aes(x=PatientVar,y=value,fill=col,group=Patient))+
geom_bar(stat="identity",width=0.9,position=position_dodge(width = 0.9))+
geom_hline(aes(yintercept=70),color="Red")+
labs(y="Display(%)",x="")+
scale_x_discrete(limits = insert_every_n(levels(df$PatientVar),length(var_seq),""))+
theme(axis.title.x = element_blank(),axis.text.x = element_text(size=12,angle=0,vjust = 0.5,face = c( 'bold')),panel.grid.major.x = element_blank(),panel.grid.minor.x = element_blank())+
theme(axis.ticks=element_line(colour = "black"),panel.border = element_rect(colour = "black",fill=NA,size=0.5),panel.background = element_blank(),axis.title.y = element_text(size=15,vjust = 0.5),axis.text.y=element_text(size=12,vjust = 0.5))+
theme(legend.position = "none")+ scale_fill_identity()+
scale_y_continuous(breaks = seq(0,9,1),limits = c(0,9),expand = c(0,0)) +
theme(axis.text.x = element_text(angle = 45,hjust = 1,vjust = 1))
输出
更新
假设您的数据框看起来像这样
> df
Var Expected Pat_1 Pat_2 Pat_3 Pat_4 Pat_5 Pat_6 Pat_7 Pat_8 Pat_9 Pat_10 Pat_11 Pat_12 Pat_13 Pat_14 Pat_15
1 IT-6 2 4 7 1 1 1 1 1 7 9 9 7 8 1 6 4
2 IT-7 3 7 8 3 4 9 7 8 1 4 4 9 9 6 9 2
3 IT-8 4 8 9 7 2 7 8 2 8 8 3 5 1 5 7 5
我们首先需要进行一些转换
library(dplyr)
library(tidyr)
df1 <-
df %>%
pivot_longer(starts_with("Pat"),"Patient",values_to = "Real") %>%
pivot_longer(c("Expected","Real"),"group") %>%
arrange(
factor(Patient,unique(Patient)),factor(Var,unique(Var)),factor(group,unique(group))
) %>%
mutate(
PatientVar = paste(Patient,sep = "_"),PatientVar = factor(PatientVar,levels = unique(PatientVar))
)
结果数据帧（df1）如下
> df1
# A tibble: 90 x 5
Var Patient group value PatientVar
<chr> <chr> <chr> <dbl> <fct>
1 IT-6 Pat_1 Expected 2 Pat_1_IT-6
2 IT-6 Pat_1 Real 4 Pat_1_IT-6
3 IT-7 Pat_1 Expected 3 Pat_1_IT-7
4 IT-7 Pat_1 Real 7 Pat_1_IT-7
5 IT-8 Pat_1 Expected 4 Pat_1_IT-8
6 IT-8 Pat_1 Real 8 Pat_1_IT-8
7 IT-6 Pat_2 Expected 2 Pat_2_IT-6
8 IT-6 Pat_2 Real 7 Pat_2_IT-6
9 IT-7 Pat_2 Expected 3 Pat_2_IT-7
10 IT-7 Pat_2 Real 8 Pat_2_IT-7
# ... with 80 more rows
然后使用以下代码进行ggplot
insert_every_n <- function(x,what)
}
colors <- c(
"pink2","red3","ivory3"
)
ggplot(df1,aes(x = PatientVar,y = value,fill = Patient,group = group,alpha = group)) +
geom_bar(,stat = "identity",width = 0.9,position = position_dodge(width = 0.9)) +
geom_hline(aes(yintercept=70),x="",alpha = element_blank())+
guides(fill = FALSE) +
scale_x_discrete(limits = insert_every_n(levels(df1$PatientVar),length(unique(df1$Var)),vjust = 0.5))+
scale_y_continuous(breaks = seq(0,0)) +
scale_fill_manual(values = colors) +
scale_alpha_discrete(range = c(.5,1)) +
theme(axis.text.x = element_text(angle = 45,vjust = 1))
输出
