nunosempere.com/blog/2023/02/04/just-in-time-bayesianism/.src/plot.R

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R

library(ggplot2)
library(ggthemes)
l = list()
l$n = c(1:100)
l$p = 2/(l$n + 2)
l <- as.data.frame(l)
title_text = "Probability assigned by Laplace's rule of succession\nas the number of trials increases"
label_x_axis = "number of trials"
label_y_axis = "probability"
ggplot(data=l, aes(x=n, y=p))+
geom_point(size = 0.5, color="navyblue")+
labs(
title=title_text,
subtitle=element_blank(),
x=label_x_axis,
y=label_y_axis
) +
theme_tufte() +
theme(
legend.title = element_blank(),
plot.title = element_text(hjust = 0.5),
plot.subtitle = element_text(hjust = 0.5),
legend.position="bottom",
legend.box="vertical",
axis.text.x=element_text(angle=60, hjust=1),
plot.background=element_rect(fill = "white",colour = NA)
)