setwd("E:/bioinformatics/fanzhimin")

install.packages(“latex2exp”)

library(ggplot2)

library(latex2exp)

D=ggplot(mtcars,aes(factor(cyl)))+geom_bar(aes(fill=factor(gear)),width = 0.8)+labs(title="Here is title",subtitle="Here is subtitle",caption="R2-36",x="cyl")+scale_fill_discrete(name="gear")

mytheme<-theme_classic()+theme(panel.grid.major = element_blank(),panel.grid.minor = element_blank(),legend.position = "none",plot.caption = element_text(face = "bold.italic"))

D+mytheme

data<-read.csv("R2-7.csv", header = TRUE)

data$significant = ifelse(abs(log2(data$FC)) > 1 & data$q_value < 0.05,"yes","no" )

data$mylabels =ifelse(abs(log2(data$FC)) > 1 & data$q_value < 0.05,as.character(data$锘縂ene.ID),NA)

mysig = subset(data,significant == "yes")

mysig

ydrop = -0.6

textdrop = 0.3

myplot = ggplot(data,aes(x = log2(FC) , y = -log2(q_value),size = significant))+geom_point(col = "grey70",alpha = 1) +xlim(-2.5,2.7) +ylim(-0.8,15) +scale_size_manual(values = c(2,0)) +geom_point(data = mysig,aes(x = log2(FC),y = -log2(q_value),col = mylabels),size = 4,position = position_jitter(height = 0.1,width = 0))+geom_text(aes(label = mylabels),size =3,hjust = 0,vjust = -1,col = "black",fontface = "italic") +annotate("segment",x=1 , xend=2.5, y = ydrop,yend  = ydrop ,color = "black",size = 1,arrow = arrow(angle = 18,ends = "last",type = "closed")) +annotate("segment", x = -1 , xend = -2.5, y = ydrop,yend  = ydrop ,color = "black",size = 1,arrow = arrow(angle = 18,ends = "last",type = "closed")) +annotate("text",x = 1.7,y = textdrop,label = "Upregulated",size = 4.5) +annotate("text",x = -1.7,y = textdrop,label = "Downregulated",size = 4.5) +labs(title = "CMTM6 sgRNA2 vs Control",caption = "create by R2-36") + labs(x = expression(log[2])) +labs(x = expression(paste(log[2],"(fold change)")),y = expression(paste(-log[2],"(Q value)")))

 myplot + mytheme

感谢各位大神，这期的好难