AI代码解释 library(latex2exp)pdf(file="Rplot13.pdf",width=9.4,height=4)p1+scale_y_discrete(labels=c("SNP","Indel","SV","SNP + Indel","SNP + Indel + SV"))+geom_text(data=new.df01%>%filter(new_col01=="graph"),aes(y=new_col03+0.1,x=mean_value,label=round(mean_value,2))...
同时,通过设置theme()函数中的plot.margin参数为0.5,将图形的边距设置为0.5,实现了图形的收缩效果。
p4+ scale_y_continuous(labels = abs,expand = c(0,0))+ scale_x_continuous(position = "top",expand = c(0,0))+ coord_cartesian(clip = "off")+ theme_bw(base_size = 15)+ theme(panel.grid = element_blank(), plot.margin = unit(c(0.5,1,1,0.5),'cm'))+ labs(x="AAA",y="...
1、面板主题: 1-1、panel.grid,一般情况下的绘图是不需要网格线的,所以取消所有网格线。此外,网格系列还包括了panel.grid.major/panel.grid.minor/的主网格线和次网格线以及主网格线和次网格线都可以对x轴和y轴进行定义。 1-2、panel.background,一般情况下都是用白底,如主程序所示。 1-3、plot.margin,图...
(0.6, 0.4)) + plot_annotation( title = title_text, subtitle = subtitle_text, caption = caption_text, theme = theme( plot.title = element_markdown( margin = margin(b = 0.4, unit = 'cm'), size = 16), plot.subtitle = element_markdown( margin = margin(b = 0.4, unit = 'cm')...
plot.margin=unit(rep(1,4), 'lines'), panel.border=element_rect(fill='transparent', color='transparent'), panel.grid=element_blank(), axis.title = element_text(color='black', vjust=0.1), axis.ticks.length = unit(-0.1,"lines"), ...
plot.margin = unit(c(1, 1, 0.5, 0.5), "lines"), complete = TRUE) } 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 2 ggplot2 默认主题 除此外,ggplot2提供一些已经写好的主题,比如theme_grey()为默认主...
plot.margin= unit(c(0.5,0.5,0.5,0.5),"cm"), legend.position= c(0.7,0.9), legend.text= element_text(color ="gray30") ) ##ggplot ggplot(df,aes(x=rate_cut, y=rate)) +geom_bar(stat="identity", aes(fill = product), position ="dodge", width =0.5) +guides(fill= guide_legend(...
a<- ggplot(mtcars, aes(x = mpg)) + geom_histogram(binwidth =4) +theme(plot.margin=unit(c(1,1,1,1),'cm')) b<- ggplot(mtcars, aes(x = mpg)) + geom_histogram(binwidth =4) +theme(plot.margin=unit(c(2,2,2,2),'cm')) ...
theme( plot.margin = unit(c(1, 1, 1, 1), "cm"), panel.background = element_blank(), plot.title = element_text(size = 22, face = "bold", hjust = 0.5, margin = margin(b = 15)), axis.line = element_line(color = "black"), axis.title = element_text...