我很难使用ggplot将p值放置在rstatix的y轴上的正确位置。我可以让包作者的博客上提供的示例工作得很好,但是当我更改值时,位置是不正确的。以下是工作版本:
library(tidyverse)
library(rstatix)
##Example provided by the package author which works correctly
df <- ToothGrowth%>%
as_tibble()
#Check df
df
#Stats calculation
stat.test <- df %>%
group_by(dose) %>%
t_test(len ~ supp) %>%
adjust_pvalue(method = "bonferroni") %>%
add_significance()
# Make facet and add p-values
stat.test <- stat.test %>% add_xy_position(x = "supp", fun = "max")
#Check p value positions - y.position looks good
stat.test
#Plot
ggplot(df, aes(x = supp, y = len)) +
geom_boxplot() +
geom_jitter() +
facet_wrap( ~ dose, scales = "free") +
stat_pvalue_manual(stat.test, hide.ns = F,
label = "{p.adj}")但是,当我改变值时,p值的位置太高了。
## My example which plots incorrectly
##--- This is a very inelegant way to change the values!!
df <- ToothGrowth %>%
mutate(helper = paste0(supp, dose))
df$RecordingNo <- ave(seq.int(nrow(df)), df$helper, FUN = seq_along)
df <- df %>%
select(-helper) %>%
pivot_wider(names_from = c(dose), values_from = len) %>%
mutate(`0.5` = `0.5` * 0.1) %>%
mutate(`2` = `2` * 10) %>%
select(-RecordingNo) %>%
pivot_longer(-supp) %>%
rename(len = value, dose = name) %>%
mutate(dose = as_factor(dose)) %>%
as_tibble()
#Check df
df
##------
#This code is exactly the same as the working code above.
#Stats calculation
stat.test <- df %>%
group_by(dose) %>%
t_test(len ~ supp) %>%
adjust_pvalue(method = "bonferroni") %>%
add_significance()
# Make facet and add p-values
stat.test <- stat.test %>% add_xy_position(x = "supp", fun = "max")
#Check p value positions - y.position looks incorrect
stat.test
ggplot(df, aes(x = supp, y = len)) +
geom_boxplot() +
geom_jitter() +
facet_wrap( ~ dose, scales = "free") +
stat_pvalue_manual(stat.test, hide.ns = F,
label = "{p.adj}")我想在第二个数据文件中有一个不同之处,它导致了这些问题,但我无法弄清楚。谢谢!
发布于 2021-02-26 20:34:07
与facet_wrap上的facet_wrap选项一样,在add_xy_position上有一个控制p值位置的scales选项。由于我使用的是"facet_wrap(...,scales = "free")",所以我应该使用add_xy_position(...,scales = "free")来确保位置匹配。
在我的例子中:
stat.test <- stat.test %>% add_xy_position(x = "supp", fun = "max",scales = "free")
ggplot(df, aes(x = supp, y = len)) +
geom_boxplot() +
geom_jitter() +
facet_wrap( ~ dose, scales = "free") +
stat_pvalue_manual(stat.test, hide.ns = F,
label = "{p.adj}")作者的吉特布页面的回答。
https://stackoverflow.com/questions/65102760
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