R 学习笔记《十二》 R语言初学者指南--格包

1 多面板散点图:xyplot

载入数据:

setwd("E:/R/R-beginer-guide/data/RBook")
 Env <- read.table(file="RIKZENV.txt",header=TRUE)
 Env$MyTime <- Env$Year+Env$dDay3/365

　　

载入格包库

library(lattice)

　　

画图:

xyplot(SAL ~ MyTime | factor(Station),type="1",
    strip = function(bg,...)
    strip.default(bg='white',...),
    col.line=1,data=Env)
     
 xyplot(SAL ~ MyTime | factor(Station),data=Env)
  
  xyplot(SAL ~ MyTime | factor(Station),type="1",strip=TRUE,col.line = 1,data=Env)
   
  xyplot(SAL ~ MyTime | factor(Station),type="1",strip=FALSE,col.line = 1,data=Env)

　　

2 多面板盒型图:bwplot

bwplot(SAL ~ factor(Month)|Area ,strip=strip.custom(bg='white'),
      cex=0.5,layout=c(2,5),data=Env,xlab="Month",ylab="Salinity",
      par.settings=list(
        box.rectangle = list(col=1),
        box.umbrella = list(col = 1),
        box.symbol = list(cex = 0.5,col =1)
      ))

　　

3 多面板克里夫兰点图:

dotplot(factor(Month)~SAL|Station,
    subset= Area=="OS",jitter.x=TRUE,
    col=1,data=Env,strip=strip.custom(bg='white'),
    cex=0.5,ylab="Month",xlab="Salinity")

　　

4 多面板直方图:histogra

histogram(~ SAL|Station,data=Env,
     subset=(Area == "OS"),layout=c(1,4),
     nint=30,xlab="Salinity",ylab="Frequencies",
     strip=FALSE,strip.left=TRUE)

　　

5面板函数

 

5.1

xyplot(SAL~Month|Year,data=Env,
            type=c("p"),subset=(Station=="GROO"),
            xlim=c(0,12),ylim=c(0,30),pch=19,
            panel=function(...){
              panel.xyplot(...)
              panel.grid(...,h=-1,v=-1)
              panel.loess(...)
            })

5.2

dotplot(factor(Month)~SAL|Station,pch=16,
        subset=(Area=="OS"),data=Env,
        ylab="Month",xlab="Salinity",
        panel=function(x,y,...){
          Q<- quantile(x,c(0.25,0.5,0.75),na.rm=TRUE)
          R<- Q[3]-Q[1]
          L<- Q[2]-3*(Q[3]-Q[1])
          MyCex <- rep(0.4,length(y))
          MyCol<- rep(1,length(x))
          MyCex[x<L]<-1.5
          MyCol[x<L]<-2
          panel.dotplot(x,y,cex=MyCex,col=MyCol,...)
        })

5.3

setwd("E:/R/R-beginer-guide/data/RBook")
 Sparrows <- read.table(file="Sparrows.txt",header=TRUE)
 xyplot(Wingcrd~Tarsus|Species*Sex,
      xlab="Axis 1",ylab="Axis 2",data=Sparrows,
      xlim=c(-1.1,1.1),ylim=c(-1.1,1.1),
      panel=function(subscripts,...){
        zi <- Sparrows[subscripts,3:8]
        di <- princomp(zi,cor=TRUE)
        Load <- di$loadings[,1:2]
        Scor <- di$scores[,1:2]
        panel.abline(a=0,b=0,lty=0,col=1)
        panel.abline(h=0,v=0,lty=2,col=1)
        for(i in 1:6){
          llines(c(0,Load[i,1]),c(0,Load[i,2]),col=1,lwd=2)
          ltext(Load[i,1],Load[i,2],rownames(Load)[i],cex=0.7)
        }
        sc.max<-max(abs(Scor))
        Scor <- Scor/sc.max
        panel.points(Scor[,1],Scor[,2],pch=1,cex=0.5,col=1)
      })