How to Create Side-by-Side Plots in ggplot2?. Using the ggplot2 package in R, you can often construct two plots side by side. Fortunately, with the patchwork and gridExtra packages, this is simple to accomplish
p <-ggplot(iris, aes(Sepal.Width, Sepal.Length, color = Species, fill = Species)) +geom_point()+theme_bw() p 3)添加注释 p +geom_xsidebar() p + geom_ysidebar() p + geom_xsidebar() + geom_ysidebar() 或 p +geom_xsidecol() +geom_ysidecol() 4)分面 p +geom_xsidecol()...
## Registered S3 method overwritten by 'ggside': ## method from ## +.gg ggplot2 p <- ggplot(mpg, aes(displ, hwy, colour = class)) + geom_point(size =2) + theme_bw() p plot of chunk unnamed-chunk-2 现在我们想在散点图的上方添加一个箱线图,用以显示不同class在displ的分布情况;...
library(ggside) ## 载入需要的程辑包:ggplot2 ## Registered S3 method overwritten by 'ggside': ## method from ## +.gg ggplot2 p <- ggplot(mpg, aes(displ, hwy, colour = class)) + geom_point(size = 2) + theme_bw() p plot of chunk unnamed-chunk-2 现在我们想在散点图的上方添...
you addgeom_xsidedensityto a plot, then this places a density geometry in its own panel that is positioned by default above the main panel. This panel will share the same x axis of the main panel but will have an independent y axis. Take the following example from the ggplot2 readme....
BiocManager::install("ggside") library(ggside) library(dplyr) library(ggplot2) 可视化简介 01 应用实例 先利用数据集画一个正常的热图 代码语言:javascript 代码运行次数:0 运行 AI代码解释 summariseDiamond <- diamonds %>% mutate(`Cut Clarity` = paste(cut, clarity)) %>% group_by(`Cut Clarity`...
ggplot2: elegant graphics for data analysis. Biometrics 67, 678–679 (2011). Article Google Scholar Download references Acknowledgements We thank P. Geesink for performing Nanopore sequencing of strain LWZ-6; W. B. Whitman for comments on the manuscript; L.-r. Dai, M. Yang and L. Fu ...
Use thegrid.arrangeFunction to Create Side by Side Boxplots in R Alternatively, we can usegrid.arrangefunction fromgridExtrapackage.grid.arrangebehaves similarly to theparfunction. Still, it is more flexible and intuitive with multiple plots, especiallyggplotobjects.grid.arrangetakes a variable length...
install.packages("ggplot2")# Install ggplot2 packagelibrary("ggplot2")# Load ggplot2 As a next step, we can create a graphic of the data: ggp<-ggplot(data,# Create raster with default colorsaes(x, y, fill=z))+geom_tile()ggp# Draw raster ...
此图ggExtra包与ggplot2也可以绘制,但是ggside自然有它的过人之处,如下所示 p2+facet_wrap(Species~Species2)+labs(title="FacetWrap")+guides(guide_axis(check.overlap=T)) p2 + facet_grid(Species~Species2, space = "free", scale = "free_y") ...