用于访问受限数据的包

人类死亡率数据库

人类死亡率数据库是马克斯普朗克人口研究所的一个项目，该项目为那些可获得或多或少可靠统计数据的国家收集和预处理人类死亡率数据。

# load required packages
library(tidyverse) 
library(extrafont)
library(HMDHFDplus)

country <- getHMDcountries()

exposures <- list()
for (i in 1: length(country)) {
        cnt <- country[i]
        exposures[[cnt]] <- readHMDweb(cnt, "Exposures_1x1", user_hmd, pass_hmd)
        # let's print the progress
        paste(i,'out of',length(country)) 
} # this will take quite a lot of time

请注意，参数 user_hmd 和 pass_hmd 是人类死亡率数据库网站的登录凭据。为了访问数据，需要在 http://www.mortality.org/ 创建一个帐户，并为 readHMDweb() 功能提供自己的凭据。

sr_age <- list()

for (i in 1:length(exposures)) {
        di <- exposures[[i]]
        sr_agei <- di %>% select(Year,Age,Female,Male) %>% 
                filter(Year %in% 2012) %>%
                select(-Year) %>%
                transmute(country = names(exposures)[i],
                          age = Age, sr_age = Male / Female * 100)
        sr_age[[i]] <- sr_agei
}
sr_age <- bind_rows(sr_age)

# remove optional populations
sr_age <- sr_age %>% filter(!country %in% c("FRACNP","DEUTE","DEUTW","GBRCENW","GBR_NP"))

# summarize all ages older than 90 (too jerky)
sr_age_90 <- sr_age %>% filter(age %in% 90:110) %>% 
        group_by(country) %>% summarise(sr_age = mean(sr_age, na.rm = T)) %>%
        ungroup() %>% transmute(country, age=90, sr_age)

df_plot <- bind_rows(sr_age %>% filter(!age %in% 90:110), sr_age_90)

# finaly - plot
df_plot %>% 
        ggplot(aes(age, sr_age, color = country, group = country))+
        geom_hline(yintercept = 100, color = 'grey50', size = 1)+
        geom_line(size = 1)+
        scale_y_continuous(limits = c(0, 120), expand = c(0, 0), breaks = seq(0, 120, 20))+
        scale_x_continuous(limits = c(0, 90), expand = c(0, 0), breaks = seq(0, 80, 20))+
        xlab('Age')+
        ylab('Sex ratio, males per 100 females')+
        facet_wrap(~country, ncol=6)+
        theme_minimal(base_family = "Roboto Condensed", base_size = 15)+
        theme(legend.position='none',
              panel.border = element_rect(size = .5, fill = NA))