R语言与医学统计图形【3】条形图、误差图

R语言基础绘图系统

基础图形——条形图、误差图

3.条形图

barplot接收的数据是矩阵而非数据框。

data <- sample(c(50:80),5)
barplot(data,col=heat.colors(5))

my_matrix <- matrix(data=sample(10:40,9),
                    nrow = 3,
                    dimnames = list(c('A',"B",'C'),
                                    paste('dose',1:3)))
barplot(t(my_matrix),
        beside = T, #是否平行放置，F为堆栈
        col = c('deeppink1','forestgreen','gray'))

更多参数用法。

par(mfrow=c(2,2))
average_gdp <- c(6500,8000,13000,9200)
country <- c('China',"Korea",'Japan',"Singapore")

barplot(average_gdp,
        names.arg = country, #为条柱添加标签
        horiz = F, #是否水平放置
        width = c(0.5,0.6,0.8,1.0), #条柱宽度
        space = 1.2) #条柱间距

4.误差条图

没有直接可用的函数来绘制误差条图。

# 误差条图
set.seed(2017)
data <- data.frame(doseA=rnorm(100,10,2),
                   doseB=rnorm(100,13,5),
                   doseC=rnorm(100,8,3))
data_mean <- apply(data,2,mean)
data_sd <- apply(data,2,sd) #标准差
barcenters <- barplot(data_mean,names.arg = names(data_mean),
                      ylim=c(0,20))
  #存入对象中，保存的是条柱中心位置的横坐标

#以下两个都是低级绘图函数，前4个参数是起始点和终止点坐标
segments(barcenters,data_mean-data_sd,barcenters,
         data_mean+data_sd,lty=1.2)

arrows(barcenters,data_mean-data_sd,
       barcenters,data_mean+data_sd,
       code = 3,angle = 90)#水平箭头，code两端都绘制箭头

自定义函数来绘制误差条图。

#均值和标准差是绘制误差条的基本元素
A=c(rep('drug A',10),rep('drug B',10))
B=rnorm(20,10,4)
C=rnorm(20,8,3)
D=rnorm(20,5,4)
data=data.frame(A,B,C,D)
colnames(data)=c('treatment','dose_1',"dose_2","dose_3")

#均值计算
bilan=aggregate(cbind(dose_1,dose_2,dose_3)~treatment,
                data = data,mean)
rownames(bilan)=bilan[,1]
bilan=as.matrix(bilan[,-1])
lim=1.2*max(bilan)

#标准差计算
stdev=aggregate(cbind(dose_1,dose_2,dose_3)~treatment,
                data=data,sd)
rownames(stdev)=stdev[,1]
stdev=as.matrix(stdev[,-1])*1.96/10

#定义函数
error.bar <- function(x,y,upper,lower=upper,length=0.1,...){
  arrows(x,y+upper,x,y-lower,angle = 90,code=3,
         length = length,...)
}

ze_barplot <- barplot(bilan,
                      beside = T,
                      #legend.text = T,
                      col = c('blue','skyblue'),
                      ylim = c(0,lim),
                      ylab = 'height')
error.bar(ze_barplot,bilan,stdev)