geom_violin(trim=FALSE,color="white") + geom_boxplot(width=0.2,position=position_dodge(0.9))+ theme_bw()+ theme(legend.position = "none") + theme(axis.text.x=element_text(colour="black",family="Times",size=15),#x轴刻度字体 axis.text.y=element_text(family="Times",size=12,face="p...
legend.title="Risk", add = "boxplot", add.params = list(color="white"),#小提琴图中间,加箱线图 palette = c("blue","red"), width=1)#低风险蓝色,高风险红色 p=p+rotate_x_text(45)#x轴倾斜45度 #差异分析 p1=p+stat_compare_means(aes(group=Risk), method="wilcox.test", #<0.001 ...
R语言中，ggplot2可以用来绘制直观的小提琴图（violin plot），便于理解数据分布和差异。首先，确保数据中'surstat'列为factor类型，便于分析。1. 单个“两组”图绘制 以gene39为例，可以先尝试默认参数绘制，然后根据需要调整美观，如添加p值。利用ggpubr包可方便地插入p值，并用星号形式表示。 2....
p=ggviolin(data, x="scoreType", y="Score", fill = "Risk", xlab="", ylab="TME score", legend.title="Risk", add = "boxplot", add.params = list(color="white"),#小提琴图中间，加箱线图 ...
R语言小提琴图(Violin Plot)及其绘制方法 在数据可视化中,箱线图是用来展示数据分布和离散程度的一种常用图表,它包含了中位数、上下四分位数和异常值等信息。然而,在某些情况下,箱线图可能无法充分展示数据的累积分布情况,无法揭示数据分布的更多细节。为了解决这个问题,小提琴图(Violin Plot)被提出并广泛应用。
· Key function: geom_violin() · Alternative function: stat_ydensity() · Key arguments to customize the plot: alpha, color, linetype, size and fill. #基础e+ geom_violin()#旋转e+ geom_violin() + coord_flip()#不修剪小提琴的尾部e+ geom_violin(trim = FALSE, fill = "steelblue") ...
library(ggplot2) data(singer, package="lattice") ggplot(singer, aes(x=voice.part, y=height)) + geom_violin(fill="lightgreen") + geom_boxplot(fill="lightblue", width=.2) 实例二 本部分我们使用R基础安装中的mtcars数据框,它描述了34种车型的参数,包括每加仑可行使英里数(mpg)、变速箱类型(am...
This function creates either a violin plot, a box plot, or a mix of two for between-group or between-condition comparisons with results from statistical tests in the subtitle. The simplest function call looks like this-set.seed(123) ggbetweenstats( data = iris, x = Species, y = Sepal....
ggplot(df, aes(x=journal, y=auth_num, fill=journal)) + geom_violin(scale="width") + geom_boxplot(width=.12, fill=I("black"), notch=T, outlier.size=NA, col="grey40") + stat_summary(fun="median", geom="point", shape=20, col="white") + #scale_y_log10(breaks=c(1:5, ...
This function creates either a violin plot, a box plot, or a mix of two forbetween-group orbetween-condition comparisons with results from statistical tests in the subtitle. The simplest function call looks like this- set.seed(123) ggbetweenstats(data=iris,x=Species,y=Sepal.Length,title="Di...