Ggplot是一个用于绘制高质量图表的R语言扩展包。boxplot是其中一种常用的图表类型,用于展示数据的分布和离群值。在使用Ggplot绘制boxplot时,可以通过分组(group)的方式进行数据的分割和展示。 更改显示的汇总统计数据可以通过设定boxplot的统计属性来实现。以下是完善且全面的答案: 概念: Ggplot:一个用于绘...
function, ggplot2 theme name. Default value is theme_pubr(). Allowed values include ggplot2 official themes: theme_gray(), theme_bw(), theme_minimal(), theme_classic(), theme_void(), ... ... other arguments to be passed togeom_boxplot,ggparandfacet. Details...
Note that an alternative to grouped boxplot is to use faceting: each subgroup (left) or each group (right) is represented in a distinct panel. # One box per treatment p1 <- ggplot(data, aes(x=variety, y=note, fill=treatment)) + geom_boxplot() + facet_wrap(~treatment) # one box...
ggplot(mydata, aes(type,value,color=type)) #可以用color,也可以用fill +geom_boxplot() #作图 +geom_jitter() #加点 +facet_wrap(~Group, scales = "free") #分面,~后面接长数据表头,scales表示单独分面,如果不设置则默认所有数据按值一起分面 +geom_signif(comparisons = list(c("Normal","Tumor...
6require(ggplot2) 7require(ggsci) 8require(ggpubr) 9mydata<-data %>% 10 ## 基因表达数据gather,gather的范围应调整11 gather(key="gene",value="Expression",CCL14:TUBB3) %>% 12 ##13 dplyr::select(ID,gene,Expression,everything()) 14head(mydata) ## 每个基因作为一个变量的宽数据 创建带...
ggplot2 作图 代码语言:javascript 复制 library(ggplot2)library(stringr)library(ggprism)x_level<-paste(df$Group1,df$Group2,sep="_")x_level df1$group<-str_sub(df1$new_col,5,7)df1$new_col<-factor(df1$new_col,levels=x_level)ggplot(df1,aes(x=new_col,y=value))+stat_boxplot(geom="err...
#使用ggplot2包生成箱线图P1 <- ggplot(Data,aes(x=Group,y=Value,fill=Group))+ #”fill=“设置填充颜色 stat_boxplot(geom = "errorbar",width=0.15,aes(color="black"))+ #由于自带的箱形图没有胡须末端没有短横线,使用误差条的方式补上 ...
library(Seurat)library(ggplot2)library(openxlsx)library(ggsignif)#加载显著性包 group为metadata中的某个colname,按照某个因素进行比较 Plot4Feature<-function(seurat_object.list,gene,group,comparisons,path.out){for(iinnames(seurat_object.list)){plot_Vln<-VlnPlot(seurat_object.list[[i]],features=gene...
Now, we can use the ggplot and geom_boxplot functions of the ggplot2 package to create a boxplot:ggplot(data2, aes(x = group, y = values, fill = group)) + # Create boxplot chart in ggplot2 geom_boxplot()Figure 9: Boxplots Created by ggplot2 Package....
bp <- ggplot(expr_data2, aes(x=group, y=expression, fill=NA)) + geom_boxplot(outlier.size=NA, size=0.01, outlier.shape = NA) + geom_jitter(width = 0.3, size=0.01, aes(color=cluster)) + # + geom_boxplot( + facet_grid( cluster ~ gene, switch="y") + # , scales = ...