library(ggplot2) DATA <- read.csv(file.choose(), header=TRUE) DATA$GROUP <- factor(DATA$GROUP, levels=rev(c("Jews","Hispanics","Asians/Asian-Americans","Blacks","Rural Americans","Whites","Christians","Gay men and lesbians","Muslims","Transgender people","Christian fundamentalists","Illegal immigrants"))) ggplot(DATA, aes(100*PE, GROUP)) + geom_bar(stat="identity", color="black", fill="slategray3", size=0.85, width=0.7) + geom_errorbarh(aes(xmin=100*CILO, xmax=100*CIHI), height=0, size=0.7) + geom_text(aes(x=100, label=scales::percent(PE, accuracy=1L)), position=position_dodge(width=0.7), hjust=1, size=4.5) + scale_x_continuous(limits=c(0,100)) + labs(title="% of the full sample that\nrated the target group under 50", caption="Target groups listed on the left. Ratings were on a 0-to-100 scale in which\n100 is warmest. Percentages include non-responses. Weights for the web\nsample. Error bars are 83.4% confidence intervals. Data: American National\nElection Studies. 2021. ANES 2020 Time Series Study Full Release\n[dataset and documentation]. July 19, 2021 version. www.electionstudies.org.") + theme( plot.background =element_rect(fill="white"), strip.background =element_rect(color="black", fill="black"), strip.text.x =element_text(color="white", face="bold", size=18, margin=margin(t=7.5, b=7.5)), panel.grid.major.x =element_blank(), panel.grid.major.y =element_blank(), panel.grid.minor.x =element_blank(), panel.grid.minor.y =element_blank(), panel.background =element_rect(fill="gray90", color="black", size=0.5, linetype="solid"), panel.border =element_rect(fill=NA, color="black", linetype="solid", size=1.5), panel.spacing.x =unit(1, "lines"), panel.spacing.y =unit(1, "lines"), axis.title.y =element_blank(), axis.title.x =element_blank(), axis.ticks.y =element_blank(), axis.ticks.x =element_blank(), axis.text.x =element_blank(), axis.text.y =element_text(size=14, color="black", margin=margin(l=7, r=7)), plot.margin =unit(c(0.5,0.5,0.5,0.5),"cm"), plot.title =element_text(face="bold", margin=margin(t=0, b=13), size=18, hjust=0.5), plot.subtitle =element_text(hjust=0.5, size=15), plot.caption =element_text(hjust=0, size=9)) ggsave(file="D:R plot ANES 2020 Cold 12 FULL.svg", width=7, height=5.5)