[英]plotting p-values using ggplot stat_summary
我想用系数和误差线绘制一个数据框(统计数据),并自动在每个点上方写入 p 值。
stats <- data.frame(Coefficient = c(-0.07,-0.04,-0.15173266),
p_value = c(.0765210755,0.5176050652,0.0001309025),
conf_low = c(-.1544418,-0.1686583,-0.2294873),
conf_high = c(0.007812205,0.084939487,-0.073978033),
Test = c("TestA","TestB","TestC"))
我正在尝试制作一个函数来绘制每个系数点上方的 p 值。 (下图中的 coord_flip 也可能让我失望。
give.pval <- function(y){
return(c(x = Coefficient, label = stats$p_value))
}
以下 ggplot 正是我所需要的,除了我做错的 stat_summary 行
ggplot(stats, aes(x = Test, y = Coefficient)) +
geom_point(aes(size = 6)) +
geom_errorbar(aes(ymax = conf_high, ymin = conf_low)) +
geom_hline(yintercept=0, linetype="dashed") +
#stat_summary(fun.data = give.pval, geom = "text") +
theme_calc() +
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
axis.text.x = element_text(size = 12, vjust = 0.5), axis.title.x = element_text(size = 16),
axis.text.y = element_text(size = 12), axis.title.y = element_blank(),
legend.position = "none",
plot.title = element_text(hjust = 0.5, size = 24)) +
coord_flip() +
ylab("Coefficient")
我希望有这个图,但在三个系数点中的每一个之上都有适当的 p 值。
感谢您的任何建议。
这可以用一个可实现geom_text
在那里你映射层p_value
上的label
AES和一些额外的轻推
library(ggplot2)
stats <- data.frame(Coefficient = c(-0.07,-0.04,-0.15173266),
p_value = c(.0765210755,0.5176050652,0.0001309025),
conf_low = c(-.1544418,-0.1686583,-0.2294873),
conf_high = c(0.007812205,0.084939487,-0.073978033),
Test = c("TestA","TestB","TestC"))
ggplot(stats, aes(x = Test, y = Coefficient)) +
geom_point(aes(size = 6)) +
geom_errorbar(aes(ymax = conf_high, ymin = conf_low)) +
geom_hline(yintercept=0, linetype="dashed") +
geom_text(aes(label = p_value), nudge_x = .2) +
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
axis.text.x = element_text(size = 12, vjust = 0.5), axis.title.x = element_text(size = 16),
axis.text.y = element_text(size = 12), axis.title.y = element_blank(),
legend.position = "none",
plot.title = element_text(hjust = 0.5, size = 24)) +
coord_flip() +
ylab("Coefficient")
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