介绍
- ggplot2绘制分组频率分布直方图和密度图
加载R包
knitr::opts_chunk$set(message = FALSE, warning = FALSE)
library(tidyverse)
library(patchwork)
library(ggpubr)
library(rstatix)
# rm(list = ls())
options(stringsAsFactors = F)
options(future.globals.maxSize = 10000 * 1024^2)
Importing data
inputdata <- data.frame(
GroupA = c(rnorm(80, 4, 2), rnorm(120, 10, 3)),
GroupB = c(rnorm(130, 4, 2), rnorm(70, 10, 3)))
plotdata <- inputdata %>%
tidyr::pivot_longer(
cols = GroupA:GroupB,
names_to = "variable",
values_to = "value")
head(plotdata)
组间检验
stat.test <- plotdata %>%
t_test(value ~ variable) %>%
adjust_pvalue(method = "bonferroni") %>%
add_significance("p.adj")
stat.test
基础图
绘制基础的直方图
p1 <- plotdata %>%
dplyr::filter(variable == "GroupA") %>%
ggplot(aes(x = value)) +
geom_histogram(binwidth = 1, color = "black", fill = "#03B0AB", cex = 1) +
geom_density(aes(value, y = after_stat(count)), color = "black",
fill = "#03B0AB", alpha = 0.2, cex = 1) +
scale_x_continuous(expand = c(0, 0)) +
scale_y_continuous(expand = c(0, 0), limits = c(0, 33)) +
labs(x = NULL, y = "Count") +
theme_classic(base_size = 15) +
theme(axis.text = element_text(color = "black"))
p2 <- plotdata %>%
dplyr::filter(variable == "GroupB") %>%
ggplot(aes(x = value)) +
geom_histogram(binwidth = 1, color = "black", fill = "#FB632E", cex = 1) +
geom_density(aes(value, y = after_stat(count)), color = "black",
fill = "#FB632E", alpha = 0.2, cex = 1) +
scale_x_continuous(expand = c(0, 0)) +
scale_y_continuous(expand = c(0, 0), limits = c(0, 33)) +
labs(x = NULL, y = NULL) +
theme_classic(base_size = 15) +
theme(axis.line.y = element_blank(),
axis.text.y = element_blank(),
axis.ticks.y = element_blank(),
axis.text = element_text(color = "black"))
修图
- 添加显著性结果以及合并图形
pl <- p1 +
geom_rect(aes(xmin = 12,
xmax = 16,
ymin = mean(inputdata$GroupA) + 3 * sd(inputdata$GroupA),
ymax = mean(inputdata$GroupA) + 3.5 * sd(inputdata$GroupA)),
color = "#03B0AB", fill = "transparent", cex = 1) +
annotate("text", x = 13.5 , y = mean(inputdata$GroupA) + 3.2 * sd(inputdata$GroupA),
label = "GroupA", size = 3.5) +
annotate("segment", x = mean(inputdata$GroupA), xend = mean(inputdata$GroupA),
y = 0, yend = 31,
linetype = 2, cex = 1) +
coord_cartesian(clip = "off", xlim = c(ceiling(min(inputdata$GroupA)) - 1,
ceiling(max(inputdata$GroupA)) + 1)) +
theme(axis.title = element_text(size = 11, face = "bold"),
axis.text = element_text(color = "black", size = 9)) +
p2 +
geom_rect(aes(xmin = 12,
xmax = 16,
ymin = mean(inputdata$GroupB) + 3 * sd(inputdata$GroupB),
ymax = mean(inputdata$GroupB) + 3.5 * sd(inputdata$GroupB)),
color = "#FB632E", fill = "transparent", cex = 1) +
annotate("text",x = 13.5, y = mean(inputdata$GroupB) + 3.2 * sd(inputdata$GroupB),
label = "GroupB", size = 3.5) +
annotate("segment", x = mean(inputdata$GroupB), xend = mean(inputdata$GroupB),
y = 0, yend = 31, linetype = 2, cex = 1) +
xlab("Value") +
theme(axis.title.x = element_text(hjust = -0.2)) +
coord_cartesian(clip = "off", xlim = c(ceiling(min(inputdata$GroupB)) - 1,
ceiling(max(inputdata$GroupB)) + 1)) +
annotate("segment", x = -2*mean(inputdata$GroupA), xend = mean(inputdata$GroupB),
y = 31, yend = 31, cex = 1) +
annotate("text", x = -mean(inputdata$GroupA)+2, y = 32, size = 5,
label = paste0("p=", stat.test$p.adj)) +
theme(axis.title = element_text(size = 11, face = "bold"),
axis.text = element_text(color = "black", size = 9))
pl
systemic information
devtools::session_info()
─ Session info ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
setting value
version R version 4.3.3 (2024-02-29)
os macOS Sonoma 14.2
system aarch64, darwin20
ui RStudio
language (EN)
collate en_US.UTF-8
ctype en_US.UTF-8
tz Asia/Shanghai
date 2024-04-24
rstudio 2023.12.1+402 Ocean Storm (desktop)
pandoc 3.1.1 @ /Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/ (via rmarkdown)
─ Packages ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
package * version date (UTC) lib source
abind 1.4-5 2016-07-21 [1] CRAN (R 4.3.0)
backports 1.4.1 2021-12-13 [1] CRAN (R 4.3.0)
broom 1.0.5 2023-06-09 [1] CRAN (R 4.3.0)
cachem 1.0.8 2023-05-01 [1] CRAN (R 4.3.0)
car 3.1-2 2023-03-30 [1] CRAN (R 4.3.0)
carData 3.0-5 2022-01-06 [1] CRAN (R 4.3.0)
cli 3.6.2 2023-12-11 [1] CRAN (R 4.3.1)
colorspace 2.1-0 2023-01-23 [1] CRAN (R 4.3.0)
crayon 1.5.2 2022-09-29 [1] CRAN (R 4.3.0)
devtools 2.4.5 2022-10-11 [1] CRAN (R 4.3.0)
digest 0.6.35 2024-03-11 [1] CRAN (R 4.3.1)
dplyr * 1.1.4 2023-11-17 [1] CRAN (R 4.3.1)
ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.3.0)
evaluate 0.23 2023-11-01 [1] CRAN (R 4.3.1)
fansi 1.0.6 2023-12-08 [1] CRAN (R 4.3.1)
farver 2.1.1 2022-07-06 [1] CRAN (R 4.3.0)
fastmap 1.1.1 2023-02-24 [1] CRAN (R 4.3.0)
forcats * 1.0.0 2023-01-29 [1] CRAN (R 4.3.0)
fs 1.6.3 2023-07-20 [1] CRAN (R 4.3.0)
generics 0.1.3 2022-07-05 [1] CRAN (R 4.3.0)
ggplot2 * 3.5.0 2024-02-23 [1] CRAN (R 4.3.3)
ggpubr * 0.6.0 2023-02-10 [1] CRAN (R 4.3.0)
ggsignif 0.6.4 2022-10-13 [1] CRAN (R 4.3.0)
glue 1.7.0 2024-01-09 [1] CRAN (R 4.3.1)
gtable 0.3.4 2023-08-21 [1] CRAN (R 4.3.0)
hms 1.1.3 2023-03-21 [1] CRAN (R 4.3.0)
htmltools 0.5.8 2024-03-25 [1] CRAN (R 4.3.1)
htmlwidgets 1.6.4 2023-12-06 [1] CRAN (R 4.3.1)
httpuv 1.6.15 2024-03-26 [1] CRAN (R 4.3.1)
knitr 1.45 2023-10-30 [1] CRAN (R 4.3.1)
labeling 0.4.3 2023-08-29 [1] CRAN (R 4.3.0)
later 1.3.2 2023-12-06 [1] CRAN (R 4.3.1)
lifecycle 1.0.4 2023-11-07 [1] CRAN (R 4.3.1)
lubridate * 1.9.3 2023-09-27 [1] CRAN (R 4.3.1)
magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.3.0)
memoise 2.0.1 2021-11-26 [1] CRAN (R 4.3.0)
mime 0.12 2021-09-28 [1] CRAN (R 4.3.0)
miniUI 0.1.1.1 2018-05-18 [1] CRAN (R 4.3.0)
munsell 0.5.0 2018-06-12 [1] CRAN (R 4.3.0)
patchwork * 1.2.0 2024-01-08 [1] CRAN (R 4.3.1)
pillar 1.9.0 2023-03-22 [1] CRAN (R 4.3.0)
pkgbuild 1.4.4 2024-03-17 [1] CRAN (R 4.3.1)
pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.3.0)
pkgload 1.3.4 2024-01-16 [1] CRAN (R 4.3.1)
plyr 1.8.9 2023-10-02 [1] CRAN (R 4.3.1)
profvis 0.3.8 2023-05-02 [1] CRAN (R 4.3.0)
promises 1.2.1 2023-08-10 [1] CRAN (R 4.3.0)
purrr * 1.0.2 2023-08-10 [1] CRAN (R 4.3.0)
R6 2.5.1 2021-08-19 [1] CRAN (R 4.3.0)
Rcpp 1.0.12 2024-01-09 [1] CRAN (R 4.3.1)
readr * 2.1.5 2024-01-10 [1] CRAN (R 4.3.1)
remotes 2.5.0 2024-03-17 [1] CRAN (R 4.3.1)
reshape 0.8.9 2022-04-12 [1] CRAN (R 4.3.0)
rlang 1.1.3 2024-01-10 [1] CRAN (R 4.3.1)
rmarkdown 2.26 2024-03-05 [1] CRAN (R 4.3.1)
rstatix * 0.7.2 2023-02-01 [1] CRAN (R 4.3.0)
rstudioapi 0.16.0 2024-03-24 [1] CRAN (R 4.3.1)
scales 1.3.0 2023-11-28 [1] CRAN (R 4.3.1)
sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.3.0)
shiny 1.8.1 2024-03-26 [1] CRAN (R 4.3.1)
stringi 1.8.3 2023-12-11 [1] CRAN (R 4.3.1)
stringr * 1.5.1 2023-11-14 [1] CRAN (R 4.3.1)
tibble * 3.2.1 2023-03-20 [1] CRAN (R 4.3.0)
tidyr * 1.3.1 2024-01-24 [1] CRAN (R 4.3.1)
tidyselect 1.2.1 2024-03-11 [1] CRAN (R 4.3.1)
tidyverse * 2.0.0 2023-02-22 [1] CRAN (R 4.3.0)
timechange 0.3.0 2024-01-18 [1] CRAN (R 4.3.1)
tzdb 0.4.0 2023-05-12 [1] CRAN (R 4.3.0)
urlchecker 1.0.1 2021-11-30 [1] CRAN (R 4.3.0)
usethis 2.2.3 2024-02-19 [1] CRAN (R 4.3.1)
utf8 1.2.4 2023-10-22 [1] CRAN (R 4.3.1)
vctrs 0.6.5 2023-12-01 [1] CRAN (R 4.3.1)
withr 3.0.0 2024-01-16 [1] CRAN (R 4.3.1)
xfun 0.43 2024-03-25 [1] CRAN (R 4.3.1)
xtable 1.8-4 2019-04-21 [1] CRAN (R 4.3.0)
yaml 2.3.8 2023-12-11 [1] CRAN (R 4.3.1)
[1] /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
Reference
- R语言ggplot2 学习NC文章的分组频率分布直方图和密度图
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