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library(tidyverse) | |
library(brms) | |
library(tidybayes) | |
mpg_model <- brm( | |
bf(hwy ~ 0 + drv), | |
data = mpg, | |
prior = c( | |
set_prior("normal(20, 3)", class = "b", lb = 0, ub = 40), | |
set_prior("student_t(3, 0, 10)", class = "sigma") | |
), | |
seed = 1234) | |
# TIRED | |
ggplot(mpg, aes(y = drv, x = hwy, color = drv)) + | |
stat_summary(geom = "pointrange", fun.data = mean_se, | |
fun.args = list(mult = 1.96), size = 1) + | |
scale_color_viridis_d(guide = FALSE) + | |
labs(x = "Highway MPG", y = "Drive", title = "TIRED", | |
subtitle = "Group-specific averages with 95% confidence intervals") + | |
coord_cartesian(xlim = c(8, 40)) + | |
theme_bw() + | |
theme(plot.title = element_text(face = "bold", size = rel(2), hjust = 0.5), | |
plot.subtitle = element_text(hjust = 0.5)) | |
ggsave("1.png", width = 5, height = 4, type = "cairo", dpi = 300) | |
# WIRED | |
mpg_draws <- mpg_model %>% | |
gather_draws(`b_.*`, regex = TRUE) %>% | |
ungroup() %>% | |
mutate(.variable = str_remove(.variable, "b_drv")) | |
ggplot(mpg_draws, aes(y = .variable, x = .value, fill = .variable)) + | |
stat_halfeyeh() + | |
scale_fill_viridis_d(guide = FALSE) + | |
labs(x = "Highway MPG", y = "Drive", title = "WIRED", | |
subtitle = "Group-specific draws from a Bayesian model") + | |
coord_cartesian(xlim = c(8, 40)) + | |
theme_bw() + | |
theme(plot.title = element_text(face = "bold", size = rel(2), hjust = 0.5), | |
plot.subtitle = element_text(hjust = 0.5)) | |
ggsave("2.png", width = 5, height = 4, type = "cairo", dpi = 300) | |
# INSPIRED | |
mpg_posterior_preds <- mpg %>% | |
modelr::data_grid(drv) %>% | |
add_predicted_draws(mpg_model, seed = 1234) | |
ggplot(mpg_posterior_preds, aes(y = drv, x = .prediction, color = drv)) + | |
stat_dotsh(quantiles = 100, shape = 19) + | |
scale_color_viridis_d(guide = FALSE) + | |
labs(x = "Highway MPG", y = "Drive", title = "INSPIRED", | |
subtitle = "Group-specific posterior predictions from a Bayesian model") + | |
coord_cartesian(xlim = c(8, 40)) + | |
theme_bw() + | |
theme(plot.title = element_text(face = "bold", size = rel(2), hjust = 0.5), | |
plot.subtitle = element_text(hjust = 0.5)) | |
ggsave("3.png", width = 5, height = 4, type = "cairo", dpi = 300) |
Author
dmi3kno
commented
Mar 8, 2020
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