library(grid)
library(gridExtra)
library(patchwork)
devtools::load_all()
load(here::here("Data/Derived/abc_processed_results.Rdata"))
# Plot dispersion by worm burden
W_by_E_plot <- abc_fin_df_case_long %>%
filter(Case %in% c("Case1", "Case2", "Case3", "Case4") & pop == "Comm") %>%
ggplot(aes(x = UF_mean,
y = obsW.med,
#shape = Intervention,
col = Case,
weight = obsW.med/(obsW.hiq-obsW.loq))) +
geom_point(aes(size = obsW.med/(obsW.hiq-obsW.loq)),
alpha = 0.5,
show.legend = FALSE) +
stat_smooth() +
theme_classic() +
theme(legend.position = "bottom") +
scale_x_continuous(trans = "log",
breaks = c(0.01, 0.1, 1, 10, 100),
labels = c("0.01", "0.1", "1", "10", "100")) +
scale_y_continuous(trans = "log",
breaks = c(0.01, 0.1, 1, 10, 100),
labels = c("0.01", "0.1", "1", "10", "100")) +
scale_color_manual(values = c("#058dd6", "#cc4a49", "#7b6c7c","#64a860")) +
labs(y = expression(Estimated~Mean~Worm~Burden~(W[st])),
x = expression(Observed~Mean~Egg~Burden~(E[st])),
col = "")
# Plot dispersion by worm burden
kW_by_E_plot <- abc_fin_df_case_long %>%
filter(Case %in% c("Case1", "Case2", "Case3", "Case4") & pop == "Comm") %>%
ggplot(aes(x = UF_mean,
y = obsalphaW.med^-1,
#shape = Intervention,
col = Case,
weight = obsalphaW.med/(obsalphaW.hiq-obsalphaW.loq))) +
stat_smooth() +
geom_point(aes(size = obsalphaW.med/(obsalphaW.hiq-obsalphaW.loq)),
alpha = 0.5,
show.legend = FALSE) +
#facet_grid(Intervention~Isl) +
theme_classic() +
theme(legend.position = "none") +
scale_x_continuous(trans = "log",
breaks = c(0.01, 0.1, 1, 10, 100),
labels = c("0.01", "0.1", "1", "10", "100")) +
scale_y_continuous(trans = "log",
breaks = c(0.001, 0.01, 0.1, 1),
labels = c("0.001", "0.01", "0.1", "1")) +
scale_color_manual(values = c("#058dd6", "#cc4a49", "#7b6c7c", "#64a860")) +
labs(y = expression(Estimated~Worm~Aggregation~Parameter~(k[st]^W)),
x = expression(Observed~Mean~Egg~Burden~(E[st])))
(W_by_E_plot | kW_by_E_plot)
ggsave(here::here("Figures/ABC-Comp_W_to_obsE.png"),
height = 5, width = 7, units = "in")
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