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## Appendix: Figure A6
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us_survey_wave1$education_numeric = as.numeric(us_survey_wave1$education)
us_survey_wave1$income_numeric = as.numeric(us_survey_wave1$income)
us_survey_wave1$ideology_numeric = as.numeric(us_survey_wave1$ideology)

us_survey_wave1 = dummy_cols(us_survey_wave1, select_columns = c("partyID", "race"))
vars_us_survey_wave1 = c("age", "female", "education_numeric", "income_numeric", "partyID_D", "partyID_I", "partyID_R", "ideology_numeric", "race_White", "race_Black")

means_black_march = means_white_march = means_black_shut = means_white_shut = means_black_destroy = means_white_destroy =  rep(NA, length(vars_us_survey_wave1))
se_black_march = se_white_march = se_black_shut = se_white_shut = se_black_destroy = se_white_destroy =  rep(NA, length(vars_us_survey_wave1))

for(i in 1:length(vars_us_survey_wave1)){
  means_black_march[i] = mean(us_survey_wave1[us_survey_wave1$identity_protesters==1 & us_survey_wave1$tactic==0, vars_us_survey_wave1[i]], na.rm=T)
  means_white_march[i] = mean(us_survey_wave1[us_survey_wave1$identity_protesters==0 & us_survey_wave1$tactic==0, vars_us_survey_wave1[i]], na.rm=T)
  means_black_shut[i] = mean(us_survey_wave1[us_survey_wave1$identity_protesters==1 & us_survey_wave1$tactic==1, vars_us_survey_wave1[i]], na.rm=T)
  means_white_shut[i] = mean(us_survey_wave1[us_survey_wave1$identity_protesters==0 & us_survey_wave1$tactic==1, vars_us_survey_wave1[i]], na.rm=T)
  means_black_destroy[i] = mean(us_survey_wave1[us_survey_wave1$identity_protesters==1 & us_survey_wave1$tactic==2, vars_us_survey_wave1[i]], na.rm=T)
  means_white_destroy[i] = mean(us_survey_wave1[us_survey_wave1$identity_protesters==0 & us_survey_wave1$tactic==2, vars_us_survey_wave1[i]], na.rm=T)
  
  se_black_march[i] = sd(us_survey_wave1[us_survey_wave1$identity_protesters==1 & us_survey_wave1$tactic==0, vars_us_survey_wave1[i]], na.rm=T)
  se_white_march[i] = sd(us_survey_wave1[us_survey_wave1$identity_protesters==0 & us_survey_wave1$tactic==0, vars_us_survey_wave1[i]], na.rm=T)
  se_black_shut[i] = sd(us_survey_wave1[us_survey_wave1$identity_protesters==1 & us_survey_wave1$tactic==1, vars_us_survey_wave1[i]], na.rm=T)
  se_white_shut[i] = sd(us_survey_wave1[us_survey_wave1$identity_protesters==0 & us_survey_wave1$tactic==1, vars_us_survey_wave1[i]], na.rm=T)
  se_black_destroy[i] = sd(us_survey_wave1[us_survey_wave1$identity_protesters==1 & us_survey_wave1$tactic==2, vars_us_survey_wave1[i]], na.rm=T)
  se_white_destroy[i] = sd(us_survey_wave1[us_survey_wave1$identity_protesters==0 & us_survey_wave1$tactic==2, vars_us_survey_wave1[i]], na.rm=T)
  
}

us_survey_wave1_balance = cbind(means_black_march, se_black_march,
                                means_white_march, se_white_march, 
                                means_black_shut, se_black_shut,
                                means_white_shut, se_white_shut,
                                means_black_destroy, se_black_destroy,
                                means_white_destroy, se_white_destroy)

us_survey_wave1_balance = as.data.frame(us_survey_wave1_balance)
colnames(us_survey_wave1_balance) = c("Blacks, march in streets (mean)", "Blacks, march in streets (sd)",
                                      "Whites, march in streets (mean)", "Whites, march in streets (sd)",
                                      "Blacks, shut down traffic (mean)", "Blacks, shut down traffic (sd)",
                                      "Whites, shut down traffic (mean)", "Whites, shut down traffic (sd)",
                                      "Blacks, destroy police cars (mean)", "Blacks, destroy police cars (sd)",
                                      "Whites, destroy police cars (mean)", "Whites, destroy police cars (sd)")
rownames(us_survey_wave1_balance) = vars_us_survey_wave1


us_survey_wave1_balance_means = as.data.frame(cbind(means_black_march,
                                                    means_white_march, 
                                                    means_black_shut,
                                                    means_white_shut,
                                                    means_black_destroy,
                                                    means_white_destroy))

rownames(us_survey_wave1_balance_means) = vars_us_survey_wave1
us_survey_wave1_balance_means$var = vars_us_survey_wave1

keycol <- "condition"
valuecol <- "mean"
gathercols <- c("means_black_march", "means_white_march", "means_black_shut", "means_white_shut",
                "means_black_destroy", "means_white_destroy")

us_survey_wave1_balance_means_long = gather_(us_survey_wave1_balance_means, keycol, valuecol, gathercols)


us_survey_wave1_balance_se = as.data.frame(cbind(se_black_march,
                                                 se_white_march, 
                                                 se_black_shut,
                                                 se_white_shut,
                                                 se_black_destroy,
                                                 se_white_destroy))

rownames(us_survey_wave1_balance_se) = vars_us_survey_wave1
us_survey_wave1_balance_se$var = vars_us_survey_wave1

keycol <- "condition"
valuecol <- "se"
gathercols <- c("se_black_march", "se_white_march", "se_black_shut", "se_white_shut",
                "se_black_destroy", "se_white_destroy")

us_survey_wave1_balance_se_long = gather_(us_survey_wave1_balance_se, keycol, valuecol, gathercols)

us_survey_wave1_balance_long = cbind(us_survey_wave1_balance_means_long, us_survey_wave1_balance_se_long[,"se"])

colnames(us_survey_wave1_balance_long) = c("term", "model", "estimate", "std.error")

us_survey_wave1_balance_long$model[us_survey_wave1_balance_long$model == "means_black_destroy"] = "Black, destroy property"
us_survey_wave1_balance_long$model[us_survey_wave1_balance_long$model == "means_black_march"] = "Black, march in streets"
us_survey_wave1_balance_long$model[us_survey_wave1_balance_long$model == "means_black_shut"] = "Black, shut down traffic"
us_survey_wave1_balance_long$model[us_survey_wave1_balance_long$model == "means_white_destroy"] = "White, destroy property"
us_survey_wave1_balance_long$model[us_survey_wave1_balance_long$model == "means_white_march"] = "White, march in streets"
us_survey_wave1_balance_long$model[us_survey_wave1_balance_long$model == "means_white_shut"] = "White, shut down traffic"

us_survey_wave1_balance_long$term[us_survey_wave1_balance_long$term == "age"] = "Age"
us_survey_wave1_balance_long$term[us_survey_wave1_balance_long$term == "female"] = "Female"
us_survey_wave1_balance_long$term[us_survey_wave1_balance_long$term == "education_numeric"] = "Education (1-6 scale)"
us_survey_wave1_balance_long$term[us_survey_wave1_balance_long$term == "income_numeric"] = "Income (1-17 scale)"
us_survey_wave1_balance_long$term[us_survey_wave1_balance_long$term == "partyID_D"] = "Party ID: Democrat"
us_survey_wave1_balance_long$term[us_survey_wave1_balance_long$term == "partyID_I"] = "Party ID: Independent"
us_survey_wave1_balance_long$term[us_survey_wave1_balance_long$term == "partyID_R"] = "Party ID: Republican"
us_survey_wave1_balance_long$term[us_survey_wave1_balance_long$term == "ideology_numeric"] = "Ideology (1-6 scale)"
us_survey_wave1_balance_long$term[us_survey_wave1_balance_long$term == "race_White"] = "Race: White"
us_survey_wave1_balance_long$term[us_survey_wave1_balance_long$term == "race_Black"] = "Race: Black"

us_survey_wave1_balance_long = us_survey_wave1_balance_long[us_survey_wave1_balance_long$term != "Age",]

dwplot(us_survey_wave1_balance_long) + theme_minimal()  + theme(legend.title=element_blank()) +
  geom_vline(xintercept = 0, colour = "grey60", linetype = 2) 
ggsave("Figures/fig_A6.pdf", height=5, width=7)