labs(x=NULL,y='Relative expression')+ theme(legend.title = element_blank(), legend.position = c(0.8,0.9), legend.background = element_rect(fill = 'transparent'), axis.text = element_text(size = 15,colour = 'black'), axis.title = element_text(size = 20), legend.text = element_t...
annotate(geom="text",x=-0.2,y=0.3, label="Rhizosphere bacteria", size=5,hjust=0)-> plot.a1 plot.a1 image.png (论文中的图的配色不是很好看,这里就不改配色了) 添加表格 plot.a1 + annotation_custom(tableGrob(mytable,rows = NULL,cols = NULL, theme = ttheme_minimal(core=list(fg_params=...
2、做柱状图 ggplot(data,aes(fill=group,y=value,x=reorder(gene,-value)))+geom_bar(position=position_dodge(),stat="summary",width=0.9,size=1)+stat_summary(fun.data='mean_se',geom="errorbar",colour="black",width=0.2,position=position_dodge(0.7))+scale_fill_manual(values=c('#F69CA4',...
We read every piece of feedback, and take your input very seriously. Include my email address so I can be contacted Cancel Submit feedback Saved searches Use saved searches to filter your results more quickly Cancel Create saved search Sign in Sign up Reseting focus {...
legends and other elements to be a little too small. Luckily it’s incredibly easy to change the size of all the text elements at once. If you look below at thesection on creating a custom themeyou’ll notice that the sizes of all the elements are relative (rel()) to thebase_size....
ggplot(iris, aes(Sepal.Length, Sepal.Width, color = Species)) +# Use a jitter position function with width 0.1geom_point(alpha =0.5, position = position_jitter(width =0.1)) Notice that jitter can be a geom itself (i.e. geom_jitter()), an argument in geom_point() (i.e. position...
在真核生物中，基因的编码序列在DNA链上是不连续的，被非编码序列隔开。这些基因，只有在转录因子结合到...
(axis.text.x=element_text(angle=30,hjust=1))+# 指定横坐标角度和对其位置theme(plot.margin=unit(c(0,0,0,1),"cm"))+# 指定画布边缘宽度,顺序为上,右,下,左xlab(NULL)+ylab(NULL)+# 不显示横纵图示geom_text(label=trans_mydata$value,vjust=-0.5,hjust=0.5,position=position_dodge(0.9),size...
(legend.position = 'none')+ geom_hline(aes(yintercept=0),linetype=1,cex=1,color='black')+ labs(title = "", y="Relative expression", x = "")+ annotate(geom = 'text', label="Up_regulation", x=3.5, y=-15,size=4)+ annotate("segment", x = 0.5, xend = 7.5, y = -10,...
在geom_col()和geom_bar()中加选项position = "dodge"可以将小类并列放置: ggplot(d_comm,aes( x =`性别`, fill =`社区`, y =`频数`)) +geom_col(position ="dodge") 这样得到并列的条形图。 并列条形图就不需要像堆叠条形图那样要求各个小类的y轴变量和有意义。 堆叠条形图相当于在geom_col()中加...