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library(ggplot2)
mydata <-read.csv("R10-1.csv")
ggplot(mydata,aes(x=year,y=death,colour=group))+geom_errorbar(aes(ymin=death-sd,ymax=death+sd),width=0.1)+geom_line()+geom_point()+ggtitle("R2-18")
options(scipen=999)
library(ggplot2)
theme_set(theme_bw())
ggplot(midwest,aes(x=area,y=poptotal))+geom_point(aes(col=state,size=popdensity))+geom_smooth(method="loess")+xlim(c(0,0.1))+ylim(c(0,500000))+labs(subtitle="Area VS population",x="Area",y="population",title="R2-18",caption="Source:midwest")
library(RColorBrewer)
library(ggplot2)
mydata <-read.csv("R10-2.csv")
mymatrix=data.matrix(mydata[,c(-1)])
row.names(mymatrix)=mydata[,1]
heatmap(mymatrix,Rowv=NA,Colv=NA,scale="column",main="R2-18")
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