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dumbell_plot overlay
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library(tidyverse) | |
# generate random data | |
xdf <- data.frame(id = rep(1:100, 2), | |
risk = c(rnorm(100, mean = 10, sd = 1), rnorm(100, mean = 7, sd = 1)), | |
year = c(rep(2016, 100), rep(2017, 100))) %>% | |
mutate(id = factor(id), | |
year = factor(year)) | |
# summarize data | |
x_summary <- xdf %>% | |
group_by(year) %>% | |
summarize(risk_mean = mean(risk)) | |
# create a dumbell plot | |
(db_plot <- xdf %>% | |
ggplot(aes(x = year, y = risk)) + | |
geom_line(aes(group = id), color = "grey") + | |
geom_point(color = "grey") + | |
geom_point(data = x_summary, aes(x = year, y = risk_mean), size = 4, color = "blue") + | |
geom_line(data = x_summary, aes(x = year, y = risk_mean), group = 1, size = 2, color = "blue") + | |
labs(x = NULL, | |
y = "Risk Factor") + | |
theme_light() + | |
theme(axis.title.y = element_text(size = 12))) | |
# create a boxplot + jitter plot | |
(db_boxplot <- xdf %>% | |
ggplot(aes(x = year, y = risk)) + | |
geom_jitter(color = "grey", width = 0.2) + | |
geom_boxplot(aes(group = year), alpha = 0.2, width = 0.4) + | |
labs(x = NULL, | |
y = "Risk Factor") + | |
theme_light() + | |
theme(axis.title.y = element_text(size = 12))) | |
ggsave("dbplot.png", db_plot, height = 8, width = 8, units = "cm", dpi = 1000) | |
ggsave("db_boxplot.png", db_boxplot, height = 8, width = 8, units = "cm", dpi = 1000) |
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