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## Figure 8
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us_survey_content_covars <- estimateEffect(1:10 ~ identity_protesters, us_survey_text_analysis$stm_topics, meta = docvars(us_survey_text_analysis$nv_dfm), uncertainty = "Global")
us_survey_sum_content_covars = summary(us_survey_content_covars)
topics = labelTopics(us_survey_text_analysis$stm_topics, n=20)
term = c(paste(topics$prob[1,1:5], collapse = ", "),
paste(topics$prob[2,c(1,2,7,8,15)], collapse = ", "),
paste(topics$prob[3,1:5], collapse = ", "),
paste(topics$prob[4,4:9], collapse = ", "),
paste(topics$prob[5,c(1,2,3,5,15)], collapse = ", "),
paste(topics$prob[6,1:5], collapse = ", "),
paste(topics$prob[7,1:5], collapse = ", "),
paste(topics$prob[8,1:5], collapse = ", "),
paste(topics$prob[9,c(3,4,9,15,17)], collapse = ", "),
paste(topics$prob[10,c(8,12,13,15,16)], collapse = ", "))
estimate = rep(NA, 10)
std.error = rep(NA, 10)
for(i in 1:length(us_survey_sum_content_covars$tables)){
estimate[i] = us_survey_sum_content_covars$tables[[i]][2,1]
std.error[i] = us_survey_sum_content_covars$tables[[i]][2,2]
}
us_survey_stm_results = data.frame("term" = term, "estimate" = estimate, "std.error"= std.error)
us_survey_stm_results = us_survey_stm_results[order(us_survey_stm_results$estimate, decreasing = T),]
dwplot(us_survey_stm_results,
vline = geom_vline(xintercept = 0, colour = "grey60", linetype = 2), dot_args = list(size = 2.5)) +
theme_bw() + xlab("\nWhite protesters . . . . . . . . . . . . . . . . . . Black protesters") +
theme(text = element_text(size=12), axis.text.x = element_text(angle = 0, hjust = 1), legend.position = "none") +
scale_colour_grey(start = 0, end = 0)
ggsave(file="Figures/fig_8.pdf", width=8, height=6)
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