data<-read.table("data.txt",header=TRUE,sep="\t")
df<-data.frame(data$C1,data$Benign,data$LiBenign,data$Unknown,data$ND,data$SuPath,data$Path,data$LiPath)
Method 1:
require(ggplot2)
g <- ggplot(df,aes(data$C1))
g<-g+geom_line(aes(y=data$Benign),colour="black")
g<-g+geom_line(aes(y=data$LiBenign),colour="black")
g<-g+geom_line(aes(y=data$Unknown),colour="black")
g<-g+geom_line(aes(y=data$ND),colour="black")
g<-g+geom_line(aes(y=data$SuPath),colour="black")
g<-g+geom_line(aes(y=data$Path),colour="red")
g<-g+geom_line(aes(y=data$LiPath),colour="magenta")
g
Method 2:
par(new=TRUE)
plot(data$C2,data$LiBenign,col="black",xlim=c(0.0,7.0),ylim=c(0.0,40.0),xlab="",ylab="")
par(new=TRUE)
plot(data$C3,data$Unknown,col="black",xlim=c(0.0,7.0),ylim=c(0.0,40.0),xlab="",ylab="")
par(new=TRUE)
plot(data$C4,data$ND,col="black",xlim=c(0.0,7.0),ylim=c(0.0,40.0),xlab="",ylab="")
par(new=TRUE)
plot(data$C5,data$SuPath,col="green",xlim=c(0.0,7.0),ylim=c(0.0,40.0),xlab="",ylab="")
par(new=TRUE)
plot(data$C6,data$Path,col="red",xlim=c(0.0,7.0),ylim=c(0.0,40.0),xlab="",ylab="")
par(new=TRUE)
plot(data$C7,data$LiPath,col="magenta",xlim=c(0.0,7.0),ylim=c(0.0,40.0),xlab="geneX",ylab="-logP")
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