Using the iris dataset, we can make a boxplot and customise the legend when plotting using ggplot like so: ggplot(data = iris, aes(x=Species, y=Sepal.Length, fill=Species))+ geom_boxplot()+ scale_fill_manual(values = c("orange","purple","brown"), labels=c("Setosa","Vesicolor",...
plot.demo <- function(title.width = 20, title.position = "top", legend.direction = "vertical"){ ggplot(iris, aes(x=Sepal.Length, y=Sepal.Width, color=Petal.Width)) + geom_point(size = 3) + scale_color_distiller(palette = "YlGn", name = stringr::str_wrap("Long...
步骤也很简单，首先下载一个caliber，这个重度kindle使用者都知道，然后我们需要把mobi转换为epub格式，这个...
ggplot(data=pg, aes(x=`Experimental Condition`, y=weight, fill=`Experimental Condition`)) + geom_boxplot() 修改标题和标签的显示 ? 1 2 # 标题 bp + theme(legend.title = element_text(colour="blue", size=16, face="bold")) ? 1 2 # 标签 bp + theme(legend.text = element_text(colou...
p <- ggplot(iris, aes(x = Species, y = Sepal.Width, fill = Species)) + geom_boxplot(outlier.colour = NA) + theme_bw() p image.png 修改legend的题目 (title) p + labs(fill = "Type") # 或者 p + p + guides(fill = guide_legend(title = 'Type')) ...
ggplot2| 绘制KEGG气泡图 ggplot2|绘制GO富集柱形图 ggplot2|从0开始绘制PCA图 ggplot2|ggpubr进行“paper”组图合并 本文将介绍一些对legend的细节操作来完成图形的“精雕细琢”。 载入R包和数据 mtcars数据集作为示例数据 library(ggplot2)#查看数据集 ...
3D Plots in R The aim of thistutorialis to describe how to modifyplot titles(main title,axis labelsandlegend titles) usingR softwareandggplot2package. The functions below can be used : ggtitle(label) # for the main title xlab(label) # for the x axis label ylab(label) # for the y ax...
ggplot2画图:legend整理(title/position/order...) 修改一组legend,导入iris数据集,默认画图: 代码语言:javascript 复制 data(iris)p<-ggplot(iris,aes(x=Species,y=Sepal.Width,fill=Species))+geom_boxplot(outlier.colour=NA)+theme_bw()p image.png...
这个调色板函数叫做pal_chColor(), 在baseR和ggplot2系列绘图中都可以用。ggplot2中可以用scale_color_chColor()或者scale_fill_chColor()轻松调用。示例如下: library(BioMedR) library(ggplot2) # set.seed(1) ggplot(mtcars, aes(mpg, disp, color = factor(carb)))+ ...
If we want to create a graph with the ggplot2 package, we also need to install and load the package to RStudio:install.packages("ggplot2") # Install and load ggplot2 library("ggplot2")Now, we can draw a basic ggplot2 plot as shown below. Note that we are drawing a line graph in...