# Model comparisons -------------------------------------------------------
## Choosing between simple or adjusted models
source(file = "manuscript/misc/setup.R")
params <- grep("total$", names(dataset), value = TRUE)
names(params) <- c("CM", "GM", "FM", "CG", "PS")
plots <- mapply(
FUN = gam_confounders,
data = list(dataset),
var = params,
var_name = names(params),
legend = c(T,T,F,F,F),
SIMPLIFY = FALSE
)
f0 <- ggpubr::ggarrange(plotlist = plots[1:2], nrow = 1, common.legend = TRUE)
f1 <- ggpubr::ggarrange(plotlist = plots[3], nrow = 1)
f2 <- ggpubr::ggarrange(plotlist = plots[4:5], nrow = 1)
figure1 <- ggpubr::ggarrange(f0, f1, f2, ncol = 1)
local({
pdf("manuscript/figures/fig-1.pdf", width = 8, height = 10);
print(figure1);
dev.off()
jpeg("manuscript/figures/fig-1.jpeg", width = 8, height = 10, units = "in", res = 400);
print(figure1);
dev.off()
})
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