在同一个ggplot上绘制多个模型规格

如何解决在同一个ggplot上绘制多个模型规格

我正在使用线性模型，我想使用跨条件的均值差异的单点范围图显示效果对不同规格的鲁棒性。据我所知（以下是MWE）。

我有三个重要的虚拟治疗指标，以及五个协变量。

我现在想做的是用五个其他模型的图叠加该图上三种处理的估计，每个模型都包含不同的协变量，然后添加图例/形状/颜色来区分它们。我假设我可以group_by()和do()五个单独的模型，但是置信区间名称被替换了，而且我不确定如何获取ggplot来读取多个模型（尤其是在tidyverse中，这是外来的给我）。

我无法找出原因或找到任何现有的线程来处理此类问题。能做到吗？感谢您的提示！

具有示例数据的MWE：

treatment1 = rep(seq(0,1,1),300)
treatment2 = sample(seq(from = 0,to = 1,by = 1),size = 300,replace = TRUE)
treatment3 = rep(seq(0,each=300)
response = rnorm(n = 300,mean = 3,sd = 1)
cov1 = rnorm(n = 300,mean = 0,sd = 1)*response
cov2 = rnorm(n = 300,sd = 1)/response
cov3 = rnorm(n = 300,sd = 1)-response
cov4 = rnorm(n = 300,sd = 1)+response
cov5 = rnorm(n = 300,sd = 1)*log(response)
df <- data.frame(treatment1,treatment2,treatment3,response,cov1,cov2,cov3,cov4,cov5)

model <- df %>% group_by(treatment1,treatment3) %>% 
  do(data.frame(tidy(lm(response ~ treatment1*treatment2*treatment3,data = .),conf.int=T,conf.level = 0.95 )))

facet.labs <- c("T1=0","T1=1")
names(facet.labs) <- c("0","1")


model$treatment3 <-factor(model$treatment3,labels = c("T3=1","T3=0"))
model$treatment3 <-factor(model$treatment3,levels = c("T3=1","T3=0"))

ggplot(model,aes(x=estimate,y=treatment2,shape = treatment3)) +
  geom_pointrange(position = position_dodge(width = 1),aes(xmin=conf.low,xmax=conf.high),size=.75) +
  theme(panel.grid.major = element_blank(),panel.grid.minor = element_blank(),panel.background = element_blank(),axis.line = element_line(colour = "black"),panel.border = element_rect(colour = "black",fill=NA,size=.8)) +
  scale_y_continuous(name ="",breaks = c(.1,1.22),labels=c("T2=0","T2=1")) +
geom_vline(xintercept=0,linetype="dotted") +
  labs(title="") + xlab("")  +
  labs(shape="")+ theme(axis.ticks = element_blank()) +
  theme(axis.text.y = element_text(angle = 90,vjust = 0.5,hjust=1)) +#,col="Treatment 1")+
  guides(fill = guide_legend(override.aes = list(linetype = 0,fill=NA)))+
  facet_wrap(~treatment1,labeller = labeller(treatment1 = facet.labs)) +
  guides(shape = guide_legend(reverse=T))

解决方法

也许这符合您的需求。请注意，我只包括3个型号。您可以添加更多。

library(broom)

treatment1 = rep(seq(0,1,1),300)
treatment2 = sample(seq(from = 0,to = 1,by = 1),size = 300,replace = TRUE)
treatment3 = rep(seq(0,each=300)
response = rnorm(n = 300,mean = 3,sd = 1)
cov1 = rnorm(n = 300,mean = 0,sd = 1)*response
cov2 = rnorm(n = 300,sd = 1)/response
cov3 = rnorm(n = 300,sd = 1)-response
cov4 = rnorm(n = 300,sd = 1)+response
cov5 = rnorm(n = 300,sd = 1)*log(response)
df1 <- data.frame(treatment1,treatment2,treatment3,response,cov1,cov2,cov3,cov4,cov5)

facet.labs <- c("T1=0","T1=1")
names(facet.labs) <- c("0","1")

model1 <- df1 %>% group_by(treatment1,treatment3) %>% 
  do(data.frame(tidy(lm(response ~ treatment1*treatment2*treatment3,data = .),conf.int=T,conf.level = 0.95 )))

#model1$treatment3 <-factor(model1$treatment3,labels= c("T3=1","T3=0"),levels = c("T3=1","T3=0"))

model11 <- data.frame(model1,model=1)

treatment1 = rep(seq(0,mean = 4,sd = 1)*response*2
cov2 = rnorm(n = 300,sd = 1)*log2(response)
df2 <- data.frame(treatment1,cov5)

model2 <- df2 %>% group_by(treatment1,conf.level = 0.95 )))

#model2$treatment3 <-factor(model2$treatment3,labels = c("T3=1","T3=0"))

model22 <- data.frame(model2,model=2)

cov1 = rnorm(n = 300,sd = 1)*response*0.5
cov5 = rnorm(n = 300,sd = 1)*log10(response)
df3 <- data.frame(treatment1,cov5)

model3 <- df3 %>% group_by(treatment1,conf.level = 0.95 )))

#model3$treatment3 <-factor(model2$treatment3,"T3=0"))

model33 <- data.frame(model3,model=3)

model <- rbind(model11,model22,model33)

myshapes <- c(15,17)
mycolors <- c("blue","orange")
mygroup <- c("T3=1","T3=0")

modelb <- transform(model,trt2_model = paste0("model ",model," - trt2 ",treatment2))

ggplot(modelb,aes(x=estimate,y=trt2_model,xmin=conf.low,xmax=conf.high,shape = factor(treatment3),color=factor(treatment3) )) + 
  geom_pointrange(position = position_dodge(width = 1),aes(xmin=conf.low,xmax=conf.high),size=.75) +
  theme(panel.grid.major = element_blank(),panel.grid.minor = element_blank(),panel.background = element_blank(),legend.key = element_rect(fill = "white",colour = "white"),axis.ticks = element_blank(),axis.line = element_line(colour = "black"),#axis.text.y = element_text(angle = 90,vjust = 1,hjust=0.5),panel.border = element_rect(colour = "blue",fill=NA,size=.8)) +
  #scale_y_continuous(name ="",breaks = c(.1,1.22),labels=c("T2=0","T2=1")) +
  geom_vline(xintercept=0,linetype="dotted",lwd=1,color="red") +
  labs(shape="",x="",y="",title="")+ 
  scale_shape_manual(name = " ",labels = mygroup,values = myshapes) +  ## choice of shapes
  scale_color_manual(name = " ",values = mycolors ) +  ## colors of your choice
  
  guides(color='none',fill = guide_legend(override.aes = list(linetype = 0,fill=NA)))+
  facet_wrap(~treatment1,labeller = labeller(treatment1 = facet.labs)) +
  guides(shape = guide_legend(override.aes=list(col=mycolors,lty=0,pt.cex=1.5,reverse=T)) ) +
  theme_bw()