代码块 part 3 plot <- wrap_plots(dots, areas, ncol = 1, heights = c(0.75, 0.25)) plot_annotation(title = "Did NFL Rule Changes to Boost Scoring and Make the Game More Exciting Actually Work?", subtitle = "Illustrated below is a sina plot (combined strip and violin plots) showing ...
p = wrap_plots(c(mfuzzPlotList,heatmapList),byrow=F,ncol=2)+ plot_layout(guides = 'collect') & theme(legend.position='top') return( list(p=p, dfcluster=dfcluster) ) } 调用自定义函数 # 读取时间序列分析数据文件 df = read.delim("https://www.r2omics.cn/res/demodata/mfuzz.xls",#...
p1 + p2 + p3 + p4 +plot_layout(nrow = 3, byrow = FALSE) wrap_plots 控制布局 wrap_plots(list(p1, p2, p3, p4), ncol = 2) plot_spacer 添加空格 p1 + p2 + plot_spacer() + p4 inset_element 生成插图 p1 + inset_element(p2, left = 0.5, bottom = 0.5, right = 0.95, top = ...
# 第一次使用需要安装 wrap_plots(p,nrow=2, guides="collect") guides="collect"参数 guides应该是绘图示例的意思;"collect"表示所有图共用一组绘图示例(我刚才试了下删除这个参数,果然每个图都配有了相同的绘图示例,就有些多余了。) patchwork包拼图结果 绘图方法2:ggplot2法 library(tidyr)library(dplyr)libr...
wrap_plots(plot.list,ncol=3,nrow=2,byrow = TRUE)+ plot_layout(guides = "collect") -> p1 p1 1. 2. 3. image.png 修改整体的边界空白 p1 + plot_annotation(theme = theme(plot.margin = unit(c(0.2,0.2,1.2,1.2),'cm'))) 1. ...
p<- patchwork::wrap_plots(plotlist = plot_list, ncol = 1) return(p) } my36colors <-c('#E5D2DD','#53A85F','#F1BB72','#F3B1A0','#D6E7A3','#57C3F3','#476D87', '#E95C59','#E59CC4','#AB3282','#23452F','#BD956A','#8C549C','#585658', ...
(ggplot2) for(i in 1:(ncol(dat)-1)){ p[[i]] = ggplot(data = dat,aes_string(x = "group",y=colnames(dat)[i]))+ geom_boxplot(aes(color = group))+ geom_jitter(aes(color = group))+ theme_bw() } library(patchwork) wrap_plots(p,nrow = 2,guides = "collect") # 分面也...
facet_wrap("cut")# 封装分面} plots <-lapply(cuts, make_cut_plot) # 对不同切割水平的进行作图 lay_grid(plots, cl) # 将绘图对象依次填充到cl画布中 2cowplot包 cowplot是一个ggplot2包的简单补充,意味着其可以为ggplot2提供出版物级的主题等。
["cut"]]), decreasing = TRUE) make_cut_plot <- function(cut) { dd <- diamonds[cut == diamonds[["cut"]], ] # ggplot(dd) + geom_point(aes(carat, price)) + facet_wrap("cut") # 封装分面} plots <- lapply(cuts, make_cut_plot) # 对不同切割水平的进行作图 lay_grid(plots, ...
facet_wrap(~feature, nrow = 1,scales = "free")+ theme_bw()+ theme(legend.position = "none") plot of chunk unnamed-chunk-7 ## 箱线图iris %>% pivot_longer(cols = 1:4,names_to = "feature",values_to = "value") %>% ggplot()+ geom_boxplot(aes(Species, value,color=Species)...