color="molecular_group", add="jitter", legend="none") + rotate_x_text(angle = 45) + geom_hline(yintercept = mean(myeloma$DEPDC1), linetype=2) + # 添加base mean的水平线 stat_compare_means(method = "anova", label.y = 1600)+ # Add global annova p-value stat_compare_means(label...
AI代码解释 stat.test2<-ToothGrowth%>%mutate(dose=as.factor(dose))%>%group_by(dose)%>%t_test(len~supp)%>%adjust_pvalue()%>%add_significance("p.adj")%>%add_xy_position(x="dose")stat.test3<-ToothGrowth%>%t_test(len~dose,p.adjust.method="bonferroni")%>%adjust_pvalue()%>%add_s...
add=c("violin","dotplot"),color="group",palette="jama", xlab="",ylab="时间(分)")+ theme(legend.position="none")+ theme(text=element_text(size=15))+ stat_compare_means(method="anova",label.x=2, label.y=60,size=5)+#添加全局...
stat_compare_means(label.y = 50, label.x = 1.5) # Add global p-value还可以设定一个ref group来显示显著性差异,只需要改一下设定。1 2 3 stat_compare_means(method = "anova", label.y = 1.3, label.x = 3)+ # Add pairwise comparisons p-value # # Add global p-value stat_compare_mea...
GraphPad Prism 9 已经支持自动添加P值了,因此ggprism也增加了add_pvalue函数,添加P值和显著性标记。 这个函数其实是对stat_pvalue_manual函数的重写,stat_pvalue_manual又是基于ggsignif包写的,所以掌握了ggsignif,你就掌握了R语言添加显著性标记的技能。
完全使用tidyverse体系进行数据清洗及可视化，使用add_pvalue,stat_pvalue_manual两个函数来自定义添加p值...
这个函数扩展了ggplot2,可以对指定ggplot图形添加均值比较的p值。 简单形式如下: AI检测代码解析 stat_compare_means(mapping=NULL,comparisons=NULL,hide.ns=FALSE,label=NULL,label.x=NULL,label.y=NULL) 1. 2. 3. 4. 5. 6. mapping: 由aes()创建的映射集合 ...
Add the p-values to the plot using the functionstat_pvalue_manual()[in ggpubr package]. The following key options are illustrated in some of the examples: The optionbracket.nudge.yis used to move up or to move down the brackets. ...
Auto-compute p-value label positions using the function add_xy_position() [in rstatix package]. Add the p-values to the plot using the function stat_pvalue_manual() [in ggpubr package]. The following key options are illustrated in some of the examples: The option bracket.nudg...
stat.test %>% add_xy_position(x = "dose", dodge = 0.8) # 确定第二个统计量的位置 stat.test2 <- stat.test2 %>% add_xy_position(x = "dose") # 与boxplot 融合 bxp + stat_pvalue_manual(stat.test,lable = "p") + stat_pvalue_manual(stat.test2,label = "p.adj.signif",tip....