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## Figure 7
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commitment_white_usa_pdv = lm_robust(degree_violence_std ~ commitment, data=us_survey_wave2[us_survey_wave2$identity_protesters_fac=="White",])
commitment_black_usa_pdv = lm_robust(degree_violence_std ~ commitment, data=us_survey_wave2[us_survey_wave2$identity_protesters_fac=="Black",])
commitment_white_israel_pdv = lm_robust(degree_violence_std ~ commitment, data=isr_survey_wave2[isr_survey_wave2$identity_protesters==0,])
commitment_ethiopian_israel_pdv = lm_robust(degree_violence_std ~ commitment, data=isr_survey_wave2[isr_survey_wave2$identity_protesters==1,])
commitment_arab_israel_pdv = lm_robust(degree_violence_std ~ commitment, data=isr_survey_wave2[isr_survey_wave2$identity_protesters==2,])
term_degree_violence = c(commitment_white_usa_pdv$coefficients[2], commitment_black_usa_pdv$coefficients[2])
se_degree_violence = c(commitment_white_usa_pdv$std.error[2], commitment_black_usa_pdv$std.error[2])
statistic_degree_violence = c(commitment_white_usa_pdv$statistic[2], commitment_black_usa_pdv$statistic[2])
pval_degree_violence = c(commitment_white_usa_pdv$p.value[2], commitment_black_usa_pdv$p.value[2])
term = c("Majority group", "Minority group")
degree_violence = as.data.frame(cbind(term_degree_violence, se_degree_violence, statistic_degree_violence, pval_degree_violence))
degree_violence = cbind(degree_violence, term)
colnames(degree_violence) = c("estimate", "std.error", "statistic", "p.value", "term")
rownames(degree_violence) = term
degree_violence$model = "Perceived degree of violence"
differences_us = rbind(degree_violence)
term_degree_violence = c(commitment_white_israel_pdv$coefficients[2], commitment_arab_israel_pdv$coefficients[2])
se_degree_violence = c(commitment_white_israel_pdv$std.error[2], commitment_arab_israel_pdv$std.error[2])
statistic_degree_violence = c(commitment_white_israel_pdv$statistic[2], commitment_arab_israel_pdv$statistic[2])
pval_degree_violence = c(commitment_white_israel_pdv$p.value[2], commitment_arab_israel_pdv$p.value[2])
term = c("Majority group", "Minority group")
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$model = "Perceived degree of violence"
differences_isr_arab = degree_violence
term_degree_violence = c(commitment_white_israel_pdv$coefficients[2], commitment_ethiopian_israel_pdv$coefficients[2])
se_degree_violence = c(commitment_white_israel_pdv$std.error[2], commitment_ethiopian_israel_pdv$std.error[2])
statistic_degree_violence = c(commitment_white_israel_pdv$statistic[2], commitment_ethiopian_israel_pdv$statistic[2])
pval_degree_violence = c(commitment_white_israel_pdv$p.value[2], commitment_ethiopian_israel_pdv$p.value[2])
term = c("Majority group", "Minority group")
degree_violence = as.data.frame(cbind(term_degree_violence, se_degree_violence, statistic_degree_violence, pval_degree_violence))
degree_violence = cbind(degree_violence, term)
colnames(degree_violence) = c("estimate", "std.error", "statistic", "p.value", "term")
rownames(degree_violence) = term
degree_violence$model = "Perceived degree of violence"
differences_isr_ethiopian = degree_violence
## Result tables for plot
differences_us2 = differences_us
differences_us2$submodel = differences_us2$term
differences_us2$term = "Perception of Blacks \n(United States)"
differences_isr_black2 = differences_isr_ethiopian
differences_isr_black2$submodel = differences_isr_black2$term
differences_isr_black2$term = "Perception of Ethiopians \n(Israel)"
differences_isr_arab2 = differences_isr_arab
differences_isr_arab2$submodel = differences_isr_arab2$term
differences_isr_arab2$term = "Perception of Arabs \n(Israel)"
diffs_sm = rbind(differences_us2, differences_isr_black2, differences_isr_arab2)
rownames(diffs_sm) = 1:nrow(diffs_sm)
results_df <- data.frame(term = diffs_sm$term,
estimate = diffs_sm$estimate,
std.error = diffs_sm$std.error,
model = as.character(diffs_sm$submodel),
stringsAsFactors = FALSE)
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) +xlim(-0.35,0.1)
ggsave(filename="Figures/fig_7.pdf", width=5.5, height=4)
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