##--##--##--##
## Figure 6
##--##--##--##

goal_white_usa_pdv = lm_robust(degree_violence_std ~ group_goal, data=us_survey_wave2[us_survey_wave2$identity_protesters_fac=="White",])
goal_black_usa_pdv = lm_robust(degree_violence_std ~ group_goal, data=us_survey_wave2[us_survey_wave2$identity_protesters_fac=="Black",])
goal_white_usa_rv = lm_robust(recall_violence_std ~ group_goal, data=us_survey_wave2[us_survey_wave2$identity_protesters_fac=="White",])
goal_black_usa_rv = lm_robust(recall_violence_std ~ group_goal, data=us_survey_wave2[us_survey_wave2$identity_protesters_fac=="Black",])
goal_white_usa_paq = lm_robust(police_action_required_std ~ group_goal, data=us_survey_wave2[us_survey_wave2$identity_protesters_fac=="White",])
goal_black_usa_paq = lm_robust(police_action_required_std ~ group_goal, data=us_survey_wave2[us_survey_wave2$identity_protesters_fac=="Black",])

## Plot interaction of goal and identity
term_degree_violence = c(goal_white_usa_pdv$coefficients[2], goal_black_usa_pdv$coefficients[2])
se_degree_violence = c(goal_white_usa_pdv$std.error[2], goal_black_usa_pdv$std.error[2])
statistic_degree_violence = c(goal_white_usa_pdv$statistic[2], goal_black_usa_pdv$statistic[2])
pval_degree_violence = c(goal_white_usa_pdv$p.value[2], goal_black_usa_pdv$p.value[2])
term = c("Majority group protesters", "Minority group protesters")
degree_violence = as.data.frame(cbind(term_degree_violence, se_degree_violence, statistic_degree_violence, pval_degree_violence))
degree_violence = cbind(degree_violence, term)
colnames(degree_violence) = c("estimate", "std.error", "statistic", "p.value", "term")
rownames(degree_violence) = term
degree_violence$model = "Perceived degree \nof violence"

term_recall_violence = c(goal_white_usa_rv$coefficients[2], goal_black_usa_rv$coefficients[2])
se_recall_violence = c(goal_white_usa_rv$std.error[2], goal_black_usa_rv$std.error[2])
statistic_recall_violence = c(goal_white_usa_rv$statistic[2], goal_black_usa_rv$statistic[2])
pval_recall_violence = c(goal_white_usa_rv$p.value[2], goal_black_usa_rv$p.value[2])
term = c("Majority group protesters", "Minority group protesters")
recall_violence = as.data.frame(cbind(term_recall_violence, se_recall_violence, statistic_recall_violence, pval_recall_violence))
recall_violence = cbind(recall_violence, term)
colnames(recall_violence) = c("estimate", "std.error", "statistic", "p.value", "term")
rownames(recall_violence) = term
recall_violence$model = "Recall \nviolence"

term_police_action_required = c(goal_white_usa_paq$coefficients[2], goal_black_usa_paq$coefficients[2])
se_police_action_required = c(goal_white_usa_paq$std.error[2], goal_black_usa_paq$std.error[2])
statistic_police_action_required = c(goal_white_usa_paq$statistic[2], goal_black_usa_paq$statistic[2])
pval_police_action_required = c(goal_white_usa_paq$p.value[2], goal_black_usa_paq$p.value[2])
term = c("Majority group protesters", "Minority group protesters")
police_action_required = as.data.frame(cbind(term_police_action_required, se_police_action_required, statistic_police_action_required, pval_police_action_required))
police_action_required = cbind(police_action_required, term)
colnames(police_action_required) = c("estimate", "std.error", "statistic", "p.value", "term")
rownames(police_action_required) = term
police_action_required$model = "Police action \nrequired"

differences_us = rbind(degree_violence, recall_violence, police_action_required)

## Result tables for plot

differences_us2 = differences_us
differences_us2$submodel = differences_us2$term
differences_us2$term = "Protesting against police brutality"
diffs_sm = differences_us2
results_df = data.frame(term = diffs_sm$term,
                        estimate = diffs_sm$estimate,
                        std.error = diffs_sm$std.error,
                        model = diffs_sm$model,
                        submodel = as.character(diffs_sm$submodel),
                        stringsAsFactors = FALSE)
results_df$term = factor(results_df$model, levels=c("Perceived degree \nof violence",
                                                    "Recall \nviolence",
                                                    "Police action \nrequired",
                                                    "Does not support \nprotest"))
results_df$model[results_df$submodel=="Majority group protesters"] = "White protesters"
results_df$model[results_df$submodel=="Minority group protesters"] = "Black protesters"

dwplot(results_df, vline = geom_vline(xintercept = 0, colour = "grey60", linetype = 2), dot_args = list(size = 2.5)) + 
  theme_bw() + xlab("Coefficient Estimate (Std. Dev. Units)") + theme(legend.position = "bottom", axis.text=element_text(size=9), legend.title = element_blank()) +
  scale_colour_grey(start = .1, end = .7) 
ggsave(filename="Figures/fig_6.pdf", width=5, height=4)