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March 2, 2021 04:07
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example for alejandro as an example of avoiding dual y-axes
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library(tibble) | |
library(ggplot2) | |
library(dplyr) | |
library(tidyr) | |
sim_years <- 7 | |
start_year <- 2014 | |
report_pattern <- c(0.25, 0.45, 0.55, 0.75, 0.9, 0.95, 1) | |
paid_pattern <- c(0.1, 0.25, 0.45, 0.68, 0.85, 0.94, 0.98) | |
# assuming Poisson with lambda = 100, and Lognormal with mu = 7 and sigma = 2 | |
set.seed(11235) | |
clms_per_year <- rpois(sim_years, lambda = 100) | |
rep_clms_per_year <- ceiling(rev(report_pattern) * clms_per_year) | |
calc_pct_paid <- function(yr, n) { | |
mu <- rev(paid_pattern)[yr] | |
sd <- 0.05 | |
pmax(0, pmin(1, rnorm(n, mean = mu, sd = sd))) | |
} | |
example_data <- tibble( | |
yr = rep(seq_len(sim_years), times = rep_clms_per_year), | |
inc = rlnorm(sum(rep_clms_per_year), meanlog = 7, sdlog = 2) | |
) %>% | |
group_by(yr) %>% | |
mutate( | |
pct_paid = calc_pct_paid(yr, dplyr::n()), | |
pd = pct_paid * inc, | |
case = inc - pd, | |
py = start_year + yr - 1 | |
) %>% | |
ungroup() %>% | |
select(py, pd, case, inc) | |
plot_data <- example_data %>% | |
group_by(py) %>% | |
summarise( | |
cnt = n(), | |
tot_pd = sum(pd), | |
tot_case = sum(case), | |
max_loss = max(pd + case), | |
.groups = "drop" | |
) | |
plot_data_agg_only <- plot_data %>% | |
select(-max_loss) %>% | |
pivot_longer( | |
cols = c("tot_pd", "tot_case"), | |
names_to = "part", | |
values_to = "amt" | |
) | |
loss_plot <- ggplot(plot_data_agg_only) + | |
geom_col(aes(x = py, y = amt, fill = part)) + | |
geom_point( | |
aes(x = py, y = max_loss), | |
data = plot_data, | |
color = "black", | |
size = 3 | |
) + | |
geom_linerange( | |
aes(x = py, ymin = 0, ymax = max_loss), | |
data = plot_data, | |
color = "black", | |
size = 1.5 | |
) + | |
ylab("Total Loss Amount") + | |
scale_y_continuous( | |
expand = expansion(mult = c(0, 0.05)), | |
labels = function(x) paste0(x/1000, "k") | |
)+ | |
theme( | |
axis.title.x = element_blank(), | |
axis.text.x = element_blank(), | |
axis.title.y = element_text(size = 16), | |
legend.position = "none" | |
) | |
cnt_plot <- ggplot(plot_data, aes(x = py, y = cnt)) + | |
geom_point( | |
color = "blue", | |
size = 3 | |
) + | |
geom_line( | |
aes(x = py, y = cnt), | |
color = "blue", | |
size = 1.5 | |
) + | |
ylab("Claim Count") + | |
scale_x_continuous( | |
n.breaks = 7, | |
expand = expansion(mult = c(0.13, 0.13))) + | |
theme( | |
axis.title.y = element_text(size = 16, colour = "blue") | |
) | |
#using patchwork | |
# | |
library(patchwork) | |
loss_plot / cnt_plot + plot_layout(heights = c(4, 1), guides = "collect") | |
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upper panel
lower panel
reported claim counts.