散点图的绘制

1.R提供的数据集：Puromycin

dim(Puromycin)#查看数据集的维度
[1] 23  3

Puromycin数据集含有23行3列的数据。

head(Puromycin)#查看数据的前10行
  conc rate   state
1 0.02   76 treated
2 0.02   47 treated
3 0.06   97 treated
4 0.06  107 treated
5 0.11  123 treated
6 0.11  139 treated

截取符合条件的子集

part1 <- subset(Puromycin,state.name=="treated")
part1
   conc rate   state
1  0.02   76 treated
2  0.02   47 treated
3  0.06   97 treated
4  0.06  107 treated
5  0.11  123 treated
6  0.11  139 treated
7  0.22  159 treated
8  0.22  152 treated
9  0.56  191 treated
10 0.56  201 treated
11 1.10  207 treated
12 1.10  200 treated

画以conc为x轴，rate为y的散点图

with(part1,plot(conc,rate))

Rplot01.png
改变点的大小cex颜色col,横纵坐标的标题xlab/ylab，主题标题title()

with(part1,plot(conc,rate,col="orange",cex=1.5,xlab = "Concentration",ylag="Rate",cex.lab=1))
title(main="Puromycin",cex.main=2)

Rplot.png

连接数据点

1.求各个变量下的平均值

install.packages("doBy")
library("doBy")
part1_mean<- summaryBy(rate ~ conc,data=part1,FUN=mean)
part1_mean
  conc rate.mean
1 0.02      61.5
2 0.06     102.0
3 0.11     131.0
4 0.22     155.5
5 0.56     196.0
6 1.10     203.5

2.将平均值的点画到散点图上

with(part1,plot(conc,rate),pch=16)
points(rate.mean ~ conc,data=part1_mean,col='cyan',pch='x')
lines(rate.mean ~conc,data=part1_mean,col="blue")

Rplot02.png