From f4daf08a42aaefa9783b307ef0ce64b071ac2aad Mon Sep 17 00:00:00 2001 From: Jose Manuel Aburto Date: Wed, 15 Jul 2020 15:33:40 +0200 Subject: [PATCH] update figures --- Figures/Cumulative_excess.pdf | Bin 6223 -> 0 bytes Figures/Figure_1.pdf | Bin 7572 -> 7409 bytes Figures/Figure_2.pdf | Bin 17254 -> 17091 bytes Figures/Figure_3.pdf | Bin 6581 -> 10095 bytes Figures/Model_ouptput.pdf | Bin 90309 -> 0 bytes Figures/Model_ouptput2.pdf | Bin 544590 -> 0 bytes Figures/Sex_ratio_ouptput.pdf | Bin 46706 -> 0 bytes Figures/Supplement Figure 1.pdf | Bin 473224 -> 0 bytes Figures/Supplement Figure 2.pdf | Bin 471427 -> 0 bytes Figures/obs_vs_expected_females_long.pdf | Bin 461302 -> 461139 bytes Figures/obs_vs_expected_females_short.pdf | Bin 97859 -> 97696 bytes Figures/obs_vs_expected_males_long.pdf | Bin 461717 -> 461554 bytes Figures/obs_vs_expected_males_short.pdf | Bin 97073 -> 96910 bytes R/2_Model_deaths.R | 1 + R/8_Graphs_LifeExpect.R | 118 +++++++++++++--------- 15 files changed, 71 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-load('Data/LifeExpectancyInequality.RData') +library(tidyverse) + +fig <- list() + +source('R/Figure_specifications.R') -EW.results[,sex := factor(sex,levels = c('females' ,'males' ,'both'))] +# Load data ------------------------------------------------------- -EW.results <- EW.results[sex != 'both'] +load('Data/LifeExpectancyInequality.RData') + +# Plot cumulative excess deaths by sex ---------------------------- +fig.data <- EW.results[sex!='both'] -Figure.1 <- ggplot(EW.results,aes(x=year, y = e0))+ +fig$figure3 <- + fig.data %>% + ggplot() + ggtitle('A) Life expectancy at birth')+ - geom_ribbon(aes(x=year, y = e0, ymin = lower.e0, ymax = upper.e0, fill = sex), show.legend = F, alpha = 1/4)+ - geom_path(aes(year, e0, color = sex), size = 1.2,show.legend = F, lineend = "round")+ - scale_color_manual('Sex' , values = c("#72B2B4", "#B4A097",'#615652'),labels = c('Females','Males','Both'))+ - scale_fill_manual('Sex' , values = c("#72B2B4", "#B4A097",'#615652'),labels = c('Females','Males','Both'))+ - theme_gray(base_size = 16)+ - theme( - aspect.ratio = 1, - text = element_text(face = 1) - )+ + geom_ribbon( + aes( + x = year, + ymin = lower.ex, + ymax = upper.ex, + fill = sex + ), + alpha = 0.2 + ) + + geom_line( + aes(x = year, y = ex, color = sex) + ) + + geom_point( + aes(x = year, y = ex, color = sex), + size = 1 + ) + + #scale_y_continuous(labels = scales::label_comma()) + + scale_color_manual(values = c("#1E8B8F","#806152")) + + scale_fill_manual(values = fig_spec$sex_colors) + + labs( + x = NULL, + y = 'Years' + ) + annotate("text", x = 2004, y = c(82.5,78.2), label = c('Females','Males'), angle = c(30,38), - color = c( "#72B2B4", "#B4A097"), - size = 6.5, hjust = 0, vjust = 1)+ - labs( - x = NULL, - y = "Years" - ) + color = c("#1E8B8F","#806152"), + size = 6.5, hjust = 0, vjust = 1) + + fig_spec$MyGGplotTheme(hgrid = TRUE, scaler = 1.3, show_legend = FALSE) -Figure.1 - -Figure.2 <- ggplot(EW.results,aes(x=year, y = sigma))+ +fig$figure4 <- + fig.data %>% + ggplot() + ggtitle('B) Lifespan inequality')+ - geom_ribbon(aes(x=year, y = sigma, ymin = lower.sigma, ymax = upper.sigma, fill = sex), show.legend = F, alpha = 1/4)+ - geom_path(aes(year, sigma, color = sex), size = 1.2,show.legend = F, lineend = "round")+ - scale_color_manual('Sex' , values = c("#72B2B4", "#B4A097",'#615652'),labels = c('Females','Males','Both'))+ - scale_fill_manual('Sex' , values = c("#72B2B4", "#B4A097",'#615652'),labels = c('Females','Males','Both'))+ - theme_gray(base_size = 16)+ - theme( - aspect.ratio = 1, - text = element_text(face = 1) - )+ + geom_ribbon( + aes( + x = year, + ymin = lower.ex.1, + ymax = upper.ex.1, + fill = sex + ), + alpha = 0.2 + ) + + geom_line( + aes(x = year, y = sd, color = sex) + ) + + geom_point( + aes(x = year, y = sd, color = sex), + size = 1 + ) + + #scale_y_continuous(labels = scales::label_comma()) + + scale_color_manual(values = c("#1E8B8F","#806152")) + + scale_fill_manual(values = fig_spec$sex_colors) + labs( x = NULL, y = NULL - ) - -Figure.2 - -Figure.3 <- Figure.1|Figure.2 - -Figure.3 + ) + + fig_spec$MyGGplotTheme(hgrid = TRUE, scaler = 1.3, show_legend = FALSE) +library(patchwork) -pdf(file = 'Figures/Figure_3.pdf',width = 9 ,height = 7) -Figure.3 -dev.off() +fig_spec$ExportPDF( + fig$figure3+fig$figure4, filename = 'Figure_3', path = 'Figures', + width = fig_spec$width, height = 0.6*fig_spec$width +) -## A table with summary measures -library(reshape2) -cbind(EW.results[year %in% c(2005,2010,2015,2019,2020),1:2], - round(EW.results[year %in% c(2005,2010,2015,2019,2020),3:8],1)) #Checks with offical lifetables and life expectancy function @@ -94,3 +114,5 @@ cbind(EW.results[order(sex,year),1:2],round(EW.results[order(sex,year),3:8],1)) + +