将小提琴图与森林图对齐

如何解决将小提琴图与森林图对齐

小提琴图 (b) 似乎与森林图 (a) 不太吻合。虽然第 5 列似乎对齐得很好，但所有其他列都没有。

我尝试了 plot_grid、ggarange、grid_draw 函数，但它们似乎无法解决对齐问题。

我的结果：

我的代码：

library(ggplot2)
library(cowplot)

#plots

a <- ggplot(data=dat_1,aes(x=varno,y=-coef,ymin=-LCI,ymax=-UCI))+ 
  geom_errorbar(width=0,size = 2,color="steelblue")+
  geom_point(size=5,color="steelblue")+
  geom_hline(yintercept=0,color="black",linetype="dashed",alpha=.5)+  #add x=0 line
  scale_y_continuous(name = "r")+
  scale_x_continuous()+
  ggtitle("A)")+
  theme_minimal()+ 
  theme(axis.text.x = element_blank(),axis.title.x = element_blank())

b <- ggplot(dat_2,aes(y=score,x=as.factor(group),fill=as.factor(time)))+ 
  geom_violin(position=position_dodge(0.5),trim=T)+
  scale_x_discrete()+
  labs(fill = "time",y="ratings")+
  ggtitle("B)")+
  theme_minimal()+ 
  theme(axis.text.x = element_text(angle = 90),axis.title.x = element_blank(),legend.position = "bottom")

plot_grid(a,b,align = "v",ncol = 1 )

我的数据：

#data
coef<-c(7.780000e-01,-2.350000e-01,-2.820000e-01,-3.090000e-01,7.560000e-01,-0.0210000,-2.000000e-01,-0.1790000000,-2.690000e-01,-0.10300000)
LCI<-c(7.240000e-01,-3.670000e-01,-3.940000e-01,-4.310000e-01,6.950000e-01,-0.1720000,-3.510000e-01,-0.3050000000,-4.290000e-01,-0.25600000)
UCI<-c( 8.280000e-01,-9.700000e-02,-1.450000e-01,-1.890000e-01,8.020000e-01,0.1240000,-6.480000e-02,-0.0369000000,-1.280000e-01,0.05850000)
varno<-1:10
dat_1<-data.frame(cbind(coef,LCI,UCI,varno))

dat_2<- data.frame(cbind(sample(1:5,10000,replace=T),rep(seq(1:10),1000)),c(rep(1,5000),rep(2,5000)))
colnames(dat_2)<-c("score","group","time")

解决方法

将 'varno' 更改为一个因子并去掉情节 A 上的 scale_x_continuous()，您应该没问题，例如

library(ggplot2)
library(cowplot)
  
#data
coef<-c(7.780000e-01,-2.350000e-01,-2.820000e-01,-3.090000e-01,7.560000e-01,-0.0210000,-2.000000e-01,-0.1790000000,-2.690000e-01,-0.10300000)
LCI<-c(7.240000e-01,-3.670000e-01,-3.940000e-01,-4.310000e-01,6.950000e-01,-0.1720000,-3.510000e-01,-0.3050000000,-4.290000e-01,-0.25600000)
UCI<-c( 8.280000e-01,-9.700000e-02,-1.450000e-01,-1.890000e-01,8.020000e-01,0.1240000,-6.480000e-02,-0.0369000000,-1.280000e-01,0.05850000)
varno<-1:10
dat_1<-data.frame(cbind(coef,LCI,UCI,varno))
  
dat_2<- data.frame(cbind(sample(1:5,10000,replace=T),rep(seq(1:10),1000)),c(rep(1,5000),rep(2,5000)))
colnames(dat_2)<-c("score","group","time")

#plots
  
a<-ggplot(data=dat_1,aes(x=factor(varno),y=-coef,ymin=-LCI,ymax=-UCI))+ 
    geom_errorbar(width=0,size = 2,color="steelblue")+
    geom_point(size=5,color="steelblue")+
    geom_hline(yintercept=0,color="black",linetype="dashed",alpha=.5)+  #add x=0 line
    scale_y_continuous(name = "r")+
    ggtitle("A)")+
    theme_minimal()+ 
    theme(axis.text.x = element_blank(),axis.title.x = element_blank())
  
b<-ggplot(dat_2,aes(y=score,x=factor(group),fill=factor(time)))+ 
    geom_violin(position=position_dodge(0.5),trim=T)+
    scale_x_discrete()+
    labs(fill = "time",y="ratings")+
    ggtitle("B)")+
    theme_minimal()+ 
    theme(axis.text.x = element_text(angle = 90),axis.title.x = element_blank(),legend.position = "bottom")
  
  
plot_grid(a,b,align = "v",ncol = 1 )