分区散点图脚本（R）

散点图归类作图脚本：

图例：

RB.RNA_PEP_Quadrant.png

代码：

library(ggplot2)
b <- read.table("WB.RNA_PEP_Quadrant.txt",header = T)
b <- as.data.frame(b)
cva <- cor(x = b$log2FC_RNA,y = b$log2FC_PEP,method = "pearson")
r <- cor.test(x = b$log2FC_RNA, y = b$log2FC_PEP)
pva <- r$p.value
title <-paste("Pearson's correlation:",cva,"\np-value:",pva)
##
pdf(file = "WB.RNA_PEP_Quadrant.pdf",width = 10,height = 6.18)
p <- ggplot(data = b,aes(b$log2FC_PEP, b$log2FC_RNA))  + theme_minimal()
p <- p + geom_point(aes(colour=factor(b$Quadrant)),show.legend = FALSE) 
p <- p + geom_hline(aes(yintercept = -1),linetype="dashed") + geom_hline(aes(yintercept = 1),linetype="dashed")
p <- p + geom_vline(aes(xintercept = -0.66),linetype="dashed") + geom_vline(aes(xintercept = 0.66),linetype="dashed")
p <- p + xlab(label = "log2(ratio of protein)") + ylab(label = "log2(ratio of transcript)")
p <- p + scale_x_continuous(breaks = seq(-3,3,1)) + scale_y_continuous(breaks = seq(-10,10,1))
p <- p + theme(panel.border = element_rect(colour = "black",fill = NA),panel.background = element_rect(fill = NA))
p <- p + ggtitle(label = title) + theme(plot.title = element_text(hjust = 0.5))
p
dev.off()

数据源：

图片.png

写成模块：

#!/usr/bin/perl -w
use strict;

my $name = $ARGV[0] || die $!;

open RCODE, ">$name.R" || die $!;
print RCODE<

欢迎讨论交流！