服务热线
178 0020 3020
library("ggplot2")
R1_data <- read.csv(file = "/Users/Adobe/Desktop/D/R/phase2/R2-1/data/R2-1-1.csv",header = T)
head(R1_data) #查看数据的前几列
str(R1_data)
R1_data <- na.omit(R1_data)
p <- ggplot(R1_data,aes(x = A ,y = B ,color = SIZE)) +
geom_line(shape = 2) +
labs(x = "A gene expression" ,y = "B gene expression",
title = "R2-05",caption = "It's really my work ,see my name,hahahahah") +
xlim(-2,3) +
ylim(-1,3)
print(p)part2
library(ggplot2) data<-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(title="R2-05-Adobe") mytheme<- theme(panel.grid = element_blank(), panel.background=element_blank(), axis.text=element_blank(), axis.ticks = element_blank()) + theme(legend.position = "Right") data + mytheme
part3
library(reshape2)
library(scales)
library(plyr)
library(ggplot2)
data<-read.csv(file.choose())
data2<-melt(data,id.vars=c("Name"))
data3<-ddply(data2,.(variable), transform,label=rescale(value))
ggplot(data3, aes(x=variable,y=Name)) +
geom_tile(aes(fill=label)) +
scale_fill_gradient(low = "pink", high = "red") +
xlab("Groups") +
ggtitle("R2-05-Adobe")


附件