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1.
> library(ggplot2)
> tg<-ToothGrowth
> library(lattice)
> library(plyr)
> library(Rmisc)
> tgc <- summarySE(tg, measurevar="len", groupvars=c("supp","dose"))
> ggplot(tgc, aes(x=dose, y=len, colour=supp, group=supp)) +geom_line(position=pd) + geom_errorbar(aes(ymin=len-se, ymax=len+se), colour="black", width=.1, position=pd)+geom_point(position=pd, size=3, shape=21, fill="white") +xlab("Dose (mg)") +ylab("Tooth length") +scale_colour_hue(name="Supplement type",breaks=c("OJ", "VC"),labels=c("Orange juice", "Ascorbic acid")) +ggtitle("R2-14") +theme_bw() +theme(panel.grid.minor = element_blank(), legend.position=c(0.86,0.1))+ theme(panel.grid.major=element_line(colour=NA))
2.
> options(scipen = 999)
> theme_set(theme_bw())
> data("midwest",package="ggplot2")
> ggplot(midwest,aes(x=area,y=poptotal))+geom_point(aes(col=state,size=popdensity))+ geom_smooth(method="loess",se=F,col="red")+xlim(c(0,0.1))+ylim(c(0,500000))+ scale_color_brewer(palette = "Accent")+ggtitle("R2-14")+xlab("Area")+ylab("Population")+
theme(panel.grid.major = element_blank(),panel.grid.minor = element_blank())
3.
> library(pheatmap)
> mydata=read.csv(file.choose())
> mymatrix=data.matrix(mydata[,c(-1)])
> row.names(mymatrix)=mydata[,1]
> heatmap(mymatrix,Rowv=NA,Colv=NA,scale="column")
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