1 theme_cowplot函数 theme_cowplot()函数的主题形式如下: p11 <- p1 + theme_cowplot() p21 <- p2 + theme_cowplot() plot_grid(p11, p21) 它的别名函数theme_half_open(),效果相同: p11 <- p1 + theme_half_open() p21 <- p2 + theme_half_open() plot_grid(p11, p21) 2 theme_minimal_gri...
p1_theme_void <- p1 + theme_void() + labs(title = "theme_void()") # 组合图表 combined_plot <- grid.arrange( p1_theme_gray, p1_theme_bw, p1_theme_linedraw, p1_theme_light, p1_theme_dark, p1_theme_minimal, p1_theme_classic, p1_theme_void, ncol = 2 ) # 显示组合图表 combined...
g=mg+theme_replace()+geom_text(aes(x=25,y=5),label='theme_replace',color='red',size=10) h=mg+theme_minimal()+geom_text(aes(x=25,y=5),label='theme_minimal',color='red',size=10) i=mg+theme_void()+geom_text(aes(x=25,y=5),label='theme_void',color='red',size=10) grid...
y = "Sepal width (cm)" ) + theme_minimal() + theme( plot.title = element_markdown(lineheight = 1.1), legend.text = element_markdown(size = 11) )+ theme(text=element_text(family="Times", size=12)) print(p) ## 不同的字体的组合 ...
酷炫系列 ggthemes包ggthemes 样图三两张: ggplot2 常用系列 theme_gray() # the default theme_bw() theme_linedraw() theme_light() theme_dark() theme_minimal() theme_classic() #推荐学术绘图 theme_void() !!! Reference link:Ref __EOF__...
theme_minimal()+ theme(legend.position='none') 相关知识1:画出top n的统计图形 在数据集上用head(xx,n)做限制就行。 相关知识2:要让图形(比如 条形图)按一定顺序排列。 在aes中的加上reorder函数,带上对应的顺序数据,如ase(x=reorder(XXX,XX),y=()). 其中XX为表顺序的数据。
e + geom_violin(trim = FALSE) + geom_boxplot(width = .2)改变颜色 e + geom_violin(aes(color = dose), trim = FALSE)e + geom_violin(aes(fill = dose), trim = FALSE)自定义颜色 e2 <- e + geom_violin(aes(color = dose), trim = FALSE) + theme_minimal()e2 + scale_color_...
theme_minimal() theme_classic() theme_gray() ggthemes包 注:使用该包内部的函数,记得提前安装和加载该包 该包的github网站为:https://github.com/jrnold/ggthemes。jornld给出了很多主题风格的例子可见:https://github.com/BTJ01/ggthemes/tree/master/inst/examples ...
theme_minimal() data1 <- data %>% mutate(expression = case_when(LogFC >= 1 & PValue < 0.05 ~ "Up-regulated", # 上调 LogFC <= -1 & PValue < 0.05 ~ "Down-regulated", # 下调 TRUE ~ "Unchanged")) # 不变 volc_plot1 <- ggplot(data1, aes(LogFC, -log10(PValue))) + ...
"text", x=2,y=1.35, label=expression(italic(P)~'='~2.71%*%10^-5))+ annotate(geom = "text", x=2.5,y=1.55, label=expression(italic(P)~'='~5.75%*%10^-8))+ scale_y_continuous(expand = c(0,0), limits = c(0,1.6), breaks = seq(0,1,0.2))+ theme_minimal()+ theme(...