本篇内容介绍了“R语言怎么实现柱形图”的有关知识，在实际案例的操作过程中，不少人都会遇到这样的困境，接下来就让小编带领大家学习一下如何处理这些情况吧！希望大家仔细阅读，能够学有所成！
柱形图
df<-readxl::read_excel("example_data/001.xlsx")
head(df)
df
library(dplyr)
df%>%
group_by(group)%>%
summarise(mean_value=mean(value),sd_value=sd(value)) -> df1
df1
library(ggplot2)
ggplot(data=df1,aes(x=group,y=mean_value))+
geom_col(aes(fill=group))+
geom_errorbar(aes(ymin=mean_value-sd_value,
ymax=mean_value+sd_value),
width=0.2)+
theme_bw()+
scale_y_continuous(expand=c(0,0),limits=c(0,4),
breaks = c(0,1,2,3,4))+
scale_fill_manual(values=c("#1f78b4", "#33a02c", "#e31a1c"))
image.pngdf<-read.csv("example_data/002.csv",header=T)
df
ggplot(data=df,aes(x=dose,y=len,fill=supp))+
geom_bar(stat="identity",position = "dodge",width=0.5)+
geom_errorbar(aes(ymin=len-sd_value,ymax=len+sd_value),width=0.2,
position = position_dodge(0.5))+
theme_bw()+
scale_fill_manual(values=c("#33a02c", "#e31a1c"))+
scale_y_continuous(expand = c(0,0),limits = c(0,40))
image.pngdf%>%group_by(dose)%>%mutate(new_col=cumsum(len)) -> df1
df1
ggplot(data=df1,aes(x=dose,y=len,fill=supp))+
geom_bar(stat="identity",position="stack")+
geom_text(aes(label=len),
position = position_stack(vjust=0.5),color="white")+
geom_errorbar(aes(ymin=new_col-sd_value,ymax=new_col+sd_value),
width=0.1)+
theme_bw()+scale_fill_manual(values=c("#33a02c", "#e31a1c"))+
scale_y_continuous(expand = c(0,0),limits = c(0,70))
image.pngdf<-read.csv("example_data/003-1.csv",header=T)
df
ggplot(data=df,aes(x=dose,y=len,group=1))+
geom_line()+geom_point()+
geom_errorbar(aes(ymin=len-sd_value,ymax=len+sd_value),width=0.05)+
theme_bw()+
geom_text(aes(y=len+sd_value+1,label=Sigi),size=8)
image.pngdf<-read.csv("example_data/003-2.csv",header=T)
df
ggplot(data=df,aes(x=dose,y=len,group=supp))+
geom_line(aes(color=supp))+geom_point(aes(color=supp))+
geom_errorbar(aes(ymin=len-sd_value,
ymax=len+sd_value,color=supp),
width=0.05)+
theme_bw()+
scale_color_manual(values=c("#33a02c", "#e31a1c"))
