##--##--##--##--##--##--##
## Appendix: Figure A11
##--##--##--##--##--##--##

commitment_white_usa_paq = lm_robust(police_action_required_std ~ commitment, data=us_survey_wave2[us_survey_wave2$identity_protesters_fac=="White",])
commitment_black_usa_paq = lm_robust(police_action_required_std ~ commitment, data=us_survey_wave2[us_survey_wave2$identity_protesters_fac=="Black",])
commitment_white_israel_paq = lm_robust(police_action_required_std ~ commitment, data=isr_survey_wave2[isr_survey_wave2$identity_protesters==0,])
commitment_ethiopian_israel_paq = lm_robust(police_action_required_std ~ commitment, data=isr_survey_wave2[isr_survey_wave2$identity_protesters==1,])
commitment_arab_israel_paq = lm_robust(police_action_required_std ~ commitment, data=isr_survey_wave2[isr_survey_wave2$identity_protesters==2,])

## U.S. 
term_police_action_required = c(commitment_white_usa_paq$coefficients[2], commitment_black_usa_paq$coefficients[2])
se_police_action_required = c(commitment_white_usa_paq$std.error[2], commitment_black_usa_paq$std.error[2])
statistic_police_action_required = c(commitment_white_usa_paq$statistic[2], commitment_black_usa_paq$statistic[2])
pval_police_action_required = c(commitment_white_usa_paq$p.value[2], commitment_black_usa_paq$p.value[2])
term = c("Majority group", "Minority group")
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 required"
differences_us = police_action_required

## Israel (Arabs)
term_police_action_required = c(commitment_white_israel_paq$coefficients[2], commitment_arab_israel_paq$coefficients[2])
se_police_action_required = c(commitment_white_israel_paq$std.error[2], commitment_arab_israel_paq$std.error[2])
statistic_police_action_required = c(commitment_white_israel_paq$statistic[2], commitment_arab_israel_paq$statistic[2])
pval_police_action_required = c(commitment_white_israel_paq$p.value[2], commitment_arab_israel_paq$p.value[2])
term = c("Majority group", "Minority group")
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 required"
differences_isr_arab = police_action_required

## Israel (Ethiopian)
term_police_action_required = c(commitment_white_israel_paq$coefficients[2], commitment_ethiopian_israel_paq$coefficients[2])
se_police_action_required = c(commitment_white_israel_paq$std.error[2], commitment_ethiopian_israel_paq$std.error[2])
statistic_police_action_required = c(commitment_white_israel_paq$statistic[2], commitment_ethiopian_israel_paq$statistic[2])
pval_police_action_required = c(commitment_white_israel_paq$p.value[2], commitment_ethiopian_israel_paq$p.value[2])
term = c("Majority group", "Minority group")
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 required"
differences_isr_ethiopian = police_action_required

## Result tables for plot
differences_us$term = "Perception of Blacks \n(United States)"
differences_isr_ethiopian$term = "Perception of Ethiopians \n(Israel)"
differences_isr_arab$term = "Perception of Arabs \n(Israel)"

diffs_sm = rbind(differences_us, differences_isr_ethiopian, differences_isr_arab)
diffs_sm$model = rep(c("Majority group", "Minority group"),3)
rownames(diffs_sm) = 1:nrow(diffs_sm)

results_df <- data.frame(term = diffs_sm$term,
                         estimate = diffs_sm$estimate,
                         std.error = diffs_sm$std.error,
                         model = diffs_sm$model,
                         stringsAsFactors = FALSE)

dwplot(results_df,vline = geom_vline(xintercept = 0, colour = "grey60", linetype = 2), dot_args = list(size = 3)) + 
  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_A11.pdf", width=6, height=5)