Which One is Closer? Nones or White Evangelicals
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| fun <- function(df, var, issue){ | |
| var <- enquo(var) | |
| aa1 <- df %>% | |
| filter(evangelical == 1 & race == 1) %>% | |
| mutate(vvv = car::recode(!! var, "1=1; 2=0; else = NA")) %>% | |
| mean_ci(vvv, wt = commonweight) | |
| aa2 <- df %>% | |
| mutate(none = case_when(religpew == 9 | religpew == 10 ~ 1, TRUE ~ 0)) %>% | |
| filter(pid3 == 1) %>% | |
| filter(none == 0) %>% | |
| mutate(vvv = car::recode(!! var, "1=1; 2=0; else = NA")) %>% | |
| mean_ci(vvv, wt = commonweight) | |
| aa3 <- df %>% | |
| mutate(wep = case_when(evangelical == 1 & race == 1 ~ 1, TRUE ~ 0)) %>% | |
| filter(pid3 == 2) %>% | |
| filter(wep == 0) %>% | |
| mutate(vvv = car::recode(!! var, "1=1; 2=0; else = NA")) %>% | |
| mean_ci(vvv, wt = commonweight) | |
| aa4 <- df %>% | |
| filter(religpew == 9 | religpew == 10) %>% | |
| mutate(vvv = car::recode(!! var, "1=1; 2=0; else = NA")) %>% | |
| mean_ci(vvv, wt = commonweight) | |
| bind_cols(aa1, aa2, aa3, aa4) %>% | |
| select(`White Evangelicals` = mean, | |
| `Democrats` = mean1, | |
| `Republicans` = mean2, | |
| `Atheists/Agnostics` = mean3) %>% | |
| mutate(type = issue) | |
| } | |
| aaa3 <- cces18 %>% fun(CC18_320d, "Make it Easier to get CCL") | |
| aaa5 <- cces18 %>% fun(CC18_322a, "Increase Funding for Border by $25B") | |
| aaa7 <- cces18 %>% fun(CC18_322c_new, "Eliminate Visa Lottery") | |
| aaa8 <- cces18 %>% fun(CC18_325a, "Cut Corporate Tax Rate to 21%") | |
| aaa9 <- cces18 %>% fun(CC18_325f_new, "Reduce Taxes on the Rich") | |
| aaa11 <- cces18 %>% fun(CC18_327c, "Repeal the ACA") | |
| aaa12 <- cces18 %>% fun(CC18_331a, "Support Tariffs on Chinese Goods") | |
| aaa13 <- cces18 %>% fun(CC18_332a, "Support Moving Capital to Jerusalem") | |
| aaa14 <- cces18 %>% fun(CC18_332b, "Allow Construction of Keystone XL Pipeline") | |
| aaa15 <- cces18 %>% fun(CC18_332c, "Withdraw from Paris Climate") | |
| aaa16 <- cces18 %>% fun(CC18_332e, "Withdraw from TPP") | |
| rev_fun <- function(df, var, issue){ | |
| var <- enquo(var) | |
| aa1 <- df %>% | |
| filter(evangelical == 1 & race == 1) %>% | |
| mutate(vvv = car::recode(!! var, "2=1; 1=0; else = NA")) %>% | |
| mean_ci(vvv, wt = commonweight) | |
| aa2 <- df %>% | |
| mutate(none = case_when(religpew == 9 | religpew == 10 ~ 1, TRUE ~ 0)) %>% | |
| filter(pid3 == 1) %>% | |
| filter(none == 0) %>% | |
| mutate(vvv = car::recode(!! var, "2=1; 1=0; else = NA")) %>% | |
| mean_ci(vvv, wt = commonweight) | |
| aa3 <- df %>% | |
| mutate(wep = case_when(evangelical == 1 & race == 1 ~ 1, TRUE ~ 0)) %>% | |
| filter(pid3 == 2) %>% | |
| filter(wep == 0) %>% | |
| mutate(vvv = car::recode(!! var, "2=1; 1=0; else = NA")) %>% | |
| mean_ci(vvv, wt = commonweight) | |
| aa4 <- df %>% | |
| filter(religpew == 9 | religpew == 10) %>% | |
| mutate(vvv = car::recode(!! var, "2=1; 1=0; else = NA")) %>% | |
| mean_ci(vvv, wt = commonweight) | |
| bind_cols(aa1, aa2, aa3, aa4) %>% | |
| select(`White Evangelicals` = mean, | |
| `Democrats` = mean1, | |
| `Republicans` = mean2, | |
| `Atheists/Agnostics` = mean3) %>% | |
| mutate(type = issue) | |
| } | |
| aaa1 <- cces18 %>% rev_fun(CC18_320a, "Oppose Background Checks") | |
| aaa2 <- cces18 %>% rev_fun(CC18_320c, "Oppose Assault Weapons Ban") | |
| aaa6 <- cces18 %>% rev_fun(CC18_322b, "Oppose DACA") | |
| aaa10 <- cces18 %>% rev_fun(CC18_327a, "Oppose Medicare for All") | |
| aaa4 <- cces18 %>% rev_fun(CC18_321a, "Always Allow Abortion as a Choice") | |
| graph <- bind_df("aaa") | |
| g1 <- ggplot() + | |
| # reshape the data frame & get min value so you can draw an eye-tracking line (this is one geom) | |
| geom_segment( | |
| data = gather(graph, measure, val, -type) %>% | |
| group_by(type) %>% | |
| top_n(-1) %>% | |
| slice(1) %>% | |
| ungroup(), | |
| aes(x = 0, xend = val, y = type, yend = type), | |
| linetype = "dotted", size = 0.5, color = "gray80" | |
| ) + | |
| # reshape the data frame & get min/max category values so you can draw the segment (this is another geom) | |
| geom_segment( | |
| data = gather(graph, measure, val, -type) %>% | |
| group_by(type) %>% | |
| summarise(start = range(val)[1], end = range(val)[2]) %>% | |
| ungroup(), | |
| aes(x = start, xend = end, y = type, yend = type), | |
| color = "gray80", size = 2 | |
| ) + | |
| # reshape the data frame & plot the points | |
| geom_point( | |
| data = gather(graph, measure, value, -type), | |
| aes(value, type, color = measure), shape = 21, stroke =2, fill = "white", size = 3 | |
| ) | |
| g1 + | |
| scale_color_manual(values = c("purple", "dodgerblue3", "firebrick3", "forestgreen")) + | |
| scale_x_continuous(labels = scales::percent, limits = c(0, 1)) + | |
| theme_gg("Abel") + | |
| theme(legend.position = "bottom") + | |
| labs(x = "Percent Who Agree", y = "", title = "Ideological Positioning on Salient Topics in 2018", caption = "@ryanburge\nData: CCES 2018") + | |
| ggsave("E://threepoint_dumbs_bunch.png", type = "cairo-png", width = 10) | |
| graph <- graph %>% | |
| as_tibble() %>% | |
| mutate(right_diff = `White Evangelicals` - Republicans) %>% | |
| mutate(left_diff = Democrats - `Atheists/Agnostics`) %>% | |
| mutate(rght = case_when(right_diff > 0 ~ 1, TRUE ~ 0)) %>% | |
| mutate(lft = case_when(left_diff > 0 ~ 1, TRUE ~ 0)) | |
| graph %>% | |
| ggplot(., aes(x = type, y = right_diff, fill = factor(rght))) + | |
| geom_col(color = "black") + | |
| coord_flip() + | |
| scale_fill_manual(values = c("firebrick3", "forestgreen")) + | |
| scale_y_continuous(labels = scales::percent, limits = c(-.15, .15)) + | |
| theme_gg("Abel") + | |
| labs(y = "<-- Republicans More Conservative::WEPs More Conservative -->", x= "", title = "Where Is There Daylight Between the Groups?", caption = "@ryanburge\nData: CCES 2018") + | |
| # add_text(x = 8, y = -.05, word = "Republicans More Conservative", sz = 4) + | |
| ggsave("E://rightsidegraph.png", type = "cairo-png") | |
| graph %>% | |
| ggplot(., aes(x = type, y = left_diff, fill = factor(lft))) + | |
| geom_col(color = "black") + | |
| coord_flip() + | |
| scale_fill_manual(values = c("dodgerblue3", "purple")) + | |
| scale_y_continuous(labels = scales::percent, limits = c(-.15, .15)) + | |
| theme_gg("Abel") + | |
| labs(y = "<-- Democrats More Liberal::Nones More Liberal -->", x= "", title = "Where Is There Daylight Between the Groups?", caption = "@ryanburge\nData: CCES 2018") + | |
| # add_text(x = 8, y = -.05, word = "Republicans More Conservative", sz = 4) + | |
| ggsave("E://leftsidegraph.png", type = "cairo-png") | |
| fun <- function(df, var, issue){ | |
| var <- enquo(var) | |
| aa1 <- df %>% | |
| filter(evangelical == 1 & race == 1) %>% | |
| mutate(vvv = car::recode(!! var, "1=1; 2=0; else = NA")) %>% | |
| mean_ci(vvv, wt = commonweight) | |
| aa2 <- df %>% | |
| filter(religpew == 9 | religpew == 10) %>% | |
| mutate(vvv = car::recode(!! var, "1=1; 2=0; else = NA")) %>% | |
| mean_ci(vvv, wt = commonweight) | |
| aa3 <- df %>% | |
| mutate(none = case_when(religpew == 9 | religpew == 10 ~ 1, TRUE ~ 0)) %>% | |
| mutate(wep = case_when(evangelical == 1 & race == 1 ~ 1, TRUE ~ 0)) %>% | |
| filter(none == 0) %>% | |
| filter(wep == 0) %>% | |
| mutate(vvv = car::recode(!! var, "1=1; 2=0; else = NA")) %>% | |
| mean_ci(vvv, wt = commonweight) | |
| bind_cols(aa1, aa2, aa3) %>% | |
| select(`White Evangelicals` = mean, | |
| `Atheists/Agnostics` = mean1, | |
| `Rest of the Sample` = mean2) %>% | |
| mutate(type = issue) | |
| } | |
| aaa3 <- cces18 %>% fun(CC18_320d, "Make it Easier to get CCL") | |
| aaa5 <- cces18 %>% fun(CC18_322a, "Increase Funding for Border by $25B") | |
| aaa7 <- cces18 %>% fun(CC18_322c_new, "Eliminate Visa Lottery") | |
| aaa8 <- cces18 %>% fun(CC18_325a, "Cut Corporate Tax Rate to 21%") | |
| aaa9 <- cces18 %>% fun(CC18_325f_new, "Reduce Taxes on the Rich") | |
| aaa11 <- cces18 %>% fun(CC18_327c, "Repeal the ACA") | |
| aaa12 <- cces18 %>% fun(CC18_331a, "Support Tariffs on Chinese Goods") | |
| aaa13 <- cces18 %>% fun(CC18_332a, "Support Moving Capital to Jerusalem") | |
| aaa14 <- cces18 %>% fun(CC18_332b, "Allow Construction of Keystone XL Pipeline") | |
| aaa15 <- cces18 %>% fun(CC18_332c, "Withdraw from Paris Climate") | |
| aaa16 <- cces18 %>% fun(CC18_332e, "Withdraw from TPP") | |
| rev_fun <- function(df, var, issue){ | |
| var <- enquo(var) | |
| aa1 <- df %>% | |
| filter(evangelical == 1 & race == 1) %>% | |
| mutate(vvv = car::recode(!! var, "2=1; 1=0; else = NA")) %>% | |
| mean_ci(vvv, wt = commonweight) | |
| aa2 <- df %>% | |
| filter(religpew == 9 | religpew == 10) %>% | |
| mutate(vvv = car::recode(!! var, "2=1; 1=0; else = NA")) %>% | |
| mean_ci(vvv, wt = commonweight) | |
| aa3 <- df %>% | |
| mutate(none = case_when(religpew == 9 | religpew == 10 ~ 1, TRUE ~ 0)) %>% | |
| mutate(wep = case_when(evangelical == 1 & race == 1 ~ 1, TRUE ~ 0)) %>% | |
| filter(none == 0) %>% | |
| filter(wep == 0) %>% | |
| mutate(vvv = car::recode(!! var, "2=1; 1=0; else = NA")) %>% | |
| mean_ci(vvv, wt = commonweight) | |
| bind_cols(aa1, aa2, aa3) %>% | |
| select(`White Evangelicals` = mean, | |
| `Atheists/Agnostics` = mean1, | |
| `Rest of the Sample` = mean2) %>% | |
| mutate(type = issue) | |
| } | |
| aaa1 <- cces18 %>% rev_fun(CC18_320a, "Oppose Background Checks") | |
| aaa2 <- cces18 %>% rev_fun(CC18_320c, "Oppose Assault Weapons Ban") | |
| aaa6 <- cces18 %>% rev_fun(CC18_322b, "Oppose DACA") | |
| aaa10 <- cces18 %>% rev_fun(CC18_327a, "Oppose Medicare for All") | |
| aaa4 <- cces18 %>% rev_fun(CC18_321a, "Always Allow Abortion as a Choice") | |
| graph <- bind_df("aaa") | |
| graph <- graph %>% | |
| as_tibble() %>% | |
| mutate(left_diff = `Atheists/Agnostics` - `Rest of the Sample`) %>% | |
| mutate(right_diff = `White Evangelicals` - `Rest of the Sample`) %>% | |
| mutate(left = left_diff*-1) %>% | |
| mutate(left_label = paste0((left*100), '%')) %>% | |
| mutate(right_label = paste0((right_diff*100), '%')) | |
| g1 <- ggplot() + | |
| # reshape the data frame & get min value so you can draw an eye-tracking line (this is one geom) | |
| geom_segment( | |
| data = gather(graph, measure, val, -type) %>% | |
| group_by(type) %>% | |
| top_n(-1) %>% | |
| slice(1) %>% | |
| ungroup(), | |
| aes(x = 0, xend = val, y = type, yend = type), | |
| linetype = "dotted", size = 0.5, color = "gray80" | |
| ) + | |
| # reshape the data frame & get min/max category values so you can draw the segment (this is another geom) | |
| geom_segment( | |
| data = gather(graph, measure, val, -type) %>% | |
| group_by(type) %>% | |
| summarise(start = range(val)[1], end = range(val)[2]) %>% | |
| ungroup(), | |
| aes(x = start, xend = end, y = type, yend = type), | |
| color = "gray80", size = 2 | |
| ) + | |
| # reshape the data frame & plot the points | |
| geom_point( | |
| data = gather(graph, measure, value, -type), | |
| aes(value, type, color = measure), shape = 21, stroke =2, fill = "white", size = 3 | |
| ) | |
| graph <- graph %>% | |
| as_tibble() %>% | |
| mutate(left_diff = `Atheists/Agnostics` - `Rest of the Sample`) %>% | |
| mutate(right_diff = `White Evangelicals` - `Rest of the Sample`) %>% | |
| mutate(left = left_diff*-1) %>% | |
| mutate(left_label = paste0((left*100), '%')) %>% | |
| mutate(right_label = paste0((right_diff*100), '%')) %>% | |
| mutate(diff = right_diff - left) %>% | |
| mutate(winner = frcode(diff > .02 ~ "Atheists/Agnostics", | |
| diff < .02 ~ "White Evangelical Protestants", | |
| TRUE ~ "No Difference")) %>% | |
| mutate(diff2 = abs(diff)) %>% | |
| mutate(win2 = frcode(diff2 <= .02 ~ "No Difference", | |
| winner == "Atheists/Agnostics" ~ "Atheists/Agnostics", | |
| winner == "White Evangelical Protestants" ~ "White Evangelicals")) | |
| g1 + | |
| geom_rect(data=graph, aes(xmin=-.025, xmax=.04, ymin=-Inf, ymax=Inf), fill="gray") + | |
| geom_rect(data=graph, aes(xmin=.845, xmax=.905, ymin=-Inf, ymax=Inf), fill="gray") + | |
| geom_text(data=graph, aes(label=left_label, y=type, x=.01), fontface="bold", size=3, family="font") + | |
| geom_text(data=graph, aes(label=right_label, y=type, x=.875), fontface="bold", size=3, family="font") + | |
| scale_color_manual(values = c("purple", "black", "forestgreen")) + | |
| scale_x_continuous(labels = scales::percent, limits = c(-.05, 1.1), breaks = c(.25, .5, .75)) + | |
| geom_text(data=graph, aes(label= win2, y=type, x= 1), fontface="bold", size=3, family="font") + | |
| theme_gg("Abel") + | |
| annotate("text", x=1, y = 16.7, label = "Closer to the Mean", size = 3.5, family = "font", color = "firebrick3", fontface = "bold") + | |
| theme(legend.position = "bottom") + | |
| scale_y_discrete(expand = expand_scale(mult = c(.05, .075))) + | |
| labs(x = "Percent Who Agree", y = "", title = "Which Group Better Represents the Average American?", caption = "@ryanburge\nData: CCES 2018") + | |
| ggsave("E://threepoint_dumbs_bunch_v2.png", type = "cairo-png", width = 10) | |
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