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@ryanburge
Last active Jan 6, 2022
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Atheist Agnostic
gg <- cces20 %>%
mutate(grp = frcode(religpew == 9 ~ "Atheist",
religpew == 10 ~ "Agnostic")) %>%
mutate(imp = frcode(pew_religimp == 4 ~ "Not At All",
pew_religimp == 3 ~ "Not Too",
pew_religimp == 2 ~ "Somewhat",
pew_religimp == 1 ~ "Very")) %>%
group_by(grp) %>%
ct(imp, wt = commonweight, show_na = FALSE) %>%
na.omit()
one <- gg %>%
ggplot(., aes(x = 1, y = pct, fill = fct_rev(imp))) +
geom_col(color = "black") +
coord_flip() +
facet_wrap(~ grp, ncol =1, strip.position = "left") +
scale_fill_paletteer_d("suffrager::london") +
theme_rb() +
theme(legend.position = "bottom") +
scale_y_continuous(labels = percent) +
theme(strip.text.y.left = element_text(angle=0)) +
guides(fill = guide_legend(reverse=T, nrow = 1)) +
theme(axis.title.y=element_blank(), axis.text.y=element_blank(), axis.ticks.y=element_blank()) +
theme(panel.grid.minor.y=element_blank(), panel.grid.major.y=element_blank()) +
geom_text(aes(label = ifelse(pct >.05, paste0(pct*100, '%'), '')), position = position_stack(vjust = 0.5), size = 4, family = "font", color = "black") +
geom_text(aes(label = ifelse(imp == "Not At All" & pct >.05, paste0(pct*100, '%'), '')), position = position_stack(vjust = 0.5), size = 4, family = "font", color = "white") +
labs(x = "", y = "", title = "Comparing the Religiosity of Atheists and Agnostics", subtitle = "How Important is Religion to You?", caption = "") +
ggsave("E://religimp_ath_agn.png", width = 9, height = 4)
gg <- cces20 %>%
mutate(grp = frcode(religpew == 9 ~ "Atheist",
religpew == 10 ~ "Agnostic")) %>%
cces_attend(pew_churatd) %>%
group_by(grp) %>%
ct(att, wt = commonweight, show_na = FALSE) %>%
na.omit()
two <- gg %>%
ggplot(., aes(x = 1, y = pct, fill = fct_rev(att))) +
geom_col(color = "black") +
coord_flip() +
facet_wrap(~ grp, ncol =1, strip.position = "left") +
scale_fill_paletteer_d("calecopal::kelp1") +
theme_rb() +
theme(legend.position = "bottom") +
scale_y_continuous(labels = percent) +
theme(strip.text.y.left = element_text(angle=0)) +
guides(fill = guide_legend(reverse=T, nrow = 1)) +
theme(axis.title.y=element_blank(), axis.text.y=element_blank(), axis.ticks.y=element_blank()) +
theme(panel.grid.minor.y=element_blank(), panel.grid.major.y=element_blank()) +
geom_text(aes(label = ifelse(pct >.05, paste0(pct*100, '%'), '')), position = position_stack(vjust = 0.5), size = 4, family = "font", color = "black") +
# geom_text(aes(label = ifelse(pct >.05, paste0(pct*100, '%'), '')), position = position_stack(vjust = 0.5), size = 4, family = "font", color = "white") +
labs(x = "", y = "", title = "", subtitle = "How Often Do You Attend Religious Services?", caption = "") +
ggsave("E://religatt_ath_agn.png", width = 9, height = 4)
gg <- cces20 %>%
mutate(grp = frcode(religpew == 9 ~ "Atheist",
religpew == 10 ~ "Agnostic")) %>%
mutate(pray = pew_prayer) %>%
mutate(pray = frcode(pray == 7 ~ "Never",
pray == 6 ~ "Seldom",
pray == 5 ~ "Monthly",
pray == 4 ~ "Once a Week",
pray == 3 ~ "Few Times a Week",
pray == 2 ~ "Daily",
pray == 1 ~ "Several Times a Day")) %>%
group_by(grp) %>%
ct(pray, wt = commonweight, show_na = FALSE) %>%
na.omit()
three <- gg %>%
ggplot(., aes(x = 1, y = pct, fill = fct_rev(pray))) +
geom_col(color = "black") +
coord_flip() +
facet_wrap(~ grp, ncol =1, strip.position = "left") +
scale_fill_paletteer_d("ggsci::legacy_tron") +
theme_rb() +
theme(legend.position = "bottom") +
scale_y_continuous(labels = percent) +
theme(strip.text.y.left = element_text(angle=0)) +
guides(fill = guide_legend(reverse=T, nrow = 1)) +
theme(axis.title.y=element_blank(), axis.text.y=element_blank(), axis.ticks.y=element_blank()) +
theme(panel.grid.minor.y=element_blank(), panel.grid.major.y=element_blank()) +
theme(legend.text = element_text(size = 10)) +
geom_text(aes(label = ifelse(pct >.05, paste0(pct*100, '%'), '')), position = position_stack(vjust = 0.5), size = 4, family = "font", color = "black") +
# geom_text(aes(label = ifelse(pct >.05, paste0(pct*100, '%'), '')), position = position_stack(vjust = 0.5), size = 4, family = "font", color = "white") +
labs(x = "", y = "", title = "", subtitle = "How Often Do You Pray?", caption = "@ryanburge\nData: CES 2020") +
ggsave("E://religpray_ath_agn.png", width = 9, height = 4)
library(patchwork)
all <- one / two / three
ggsave("E://patched_ath_agn.png", type = 'cairo-png', width = 8, height = 8, all)
ggg1 <- cces08 %>%
mutate(grp = frcode(V219 == 9 ~ "Atheist",
V219 == 10 ~ "Agnostic",
V219 == 11 ~ "Nothing in Particular")) %>%
group_by(grp) %>%
mutate(vote = CC410) %>%
mutate(vote = frcode(vote == 1 ~ "Republican",
vote == 2 ~ "Democrat",
vote == 3 | vote == 4 | vote == 5 | vote == 6 ~ "Third Party")) %>%
ct(vote, wt = V201, show_na = FALSE) %>%
mutate(year = 2008)
ggg2 <- cces12 %>%
mutate(grp = frcode(religpew == 9 ~ "Atheist",
religpew == 10 ~ "Agnostic",
religpew == 11 ~ "Nothing in Particular")) %>%
group_by(grp) %>%
mutate(vote = CC410a) %>%
mutate(vote = frcode(vote == 1 ~ "Democrat",
vote == 2 ~ "Republican",
vote == 4 ~ "Third Party")) %>%
ct(vote, wt = weight_vv_post, show_na = FALSE) %>%
mutate(year = 2012)
ggg3 <- cces16 %>%
mutate(grp = frcode(religpew == 9 ~ "Atheist",
religpew == 10 ~ "Agnostic",
religpew == 11 ~ "Nothing in Particular")) %>%
group_by(grp) %>%
mutate(vote = CC16_410a) %>%
mutate(vote = frcode(vote == 1 ~ "Republican",
vote == 2 ~ "Democrat",
vote == 3 | vote == 4 | vote == 5 | vote == 8 ~ "Third Party")) %>%
ct(vote, wt = commonweight_vv_post, show_na = FALSE) %>%
mutate(year = 2016)
ggg4 <- cces20 %>%
mutate(grp = frcode(religpew == 9 ~ "Atheist",
religpew == 10 ~ "Agnostic",
religpew == 11 ~ "Nothing in Particular")) %>%
group_by(grp) %>%
mutate(vote = CC20_410) %>%
mutate(vote = frcode(vote == 1 ~ "Democrat",
vote == 2 ~ "Republican",
vote == 4 ~ "Third Party")) %>%
ct(vote, wt = commonpostweight, show_na = FALSE) %>%
mutate(year = 2020)
pres <- bind_rows(ggg1, ggg2, ggg3, ggg4)
pres %>%
filter(grp == "Atheist" | grp == "Agnostic") %>%
ggplot(., aes(x = 1, y = pct, fill = fct_rev(vote))) +
geom_col(color = "black") +
coord_flip() +
facet_grid(year ~ grp, switch = "y") +
scale_fill_manual(values = c("darkorchid", "dodgerblue3", "firebrick3")) +
theme_rb() +
theme(legend.position = "bottom") +
scale_y_continuous(labels = percent) +
theme(strip.text.y.left = element_text(angle = 0)) +
guides(fill = guide_legend(reverse=T, nrow = 1)) +
theme(axis.title.y=element_blank(), axis.text.y=element_blank(), axis.ticks.y=element_blank()) +
theme(panel.grid.minor.y=element_blank(), panel.grid.major.y=element_blank()) +
geom_text(aes(label = ifelse(pct >.05, paste0(pct*100, '%'), '')), position = position_stack(vjust = 0.5), size = 4, family = "font", color = "black") +
labs(x = "", y = "", title = "Vote Choice for President", subtitle = "", caption = "@ryanburge\nData: CCES 2008-2020") +
ggsave("E://vote_choice_ath_agn.png", width = 9, height = 3.5)
pid <- cces %>%
mutate(grp = frcode(religion == 9 ~ "Atheist",
religion == 10 ~ "Agnostic")) %>%
filter(grp != "NA") %>%
filter(pid7 <= 7) %>%
group_by(grp, year) %>%
mean_ci(pid7, wt = weight, ci = .84) %>%
select(grp, year, pid = mean)
id <- cces %>%
mutate(grp = frcode(religion == 9 ~ "Atheist",
religion == 10 ~ "Agnostic")) %>%
filter(grp != "NA") %>%
filter(ideo5 <= 5) %>%
group_by(grp, year) %>%
mean_ci(ideo5, wt = weight, ci = .84) %>%
select(grp, year, id =mean)
graph <- left_join(pid, id) %>%
mutate(year = as.factor(year))
graph %>%
ggplot(., aes(x = pid, y = id, color = grp)) +
geom_point(shape = 21, stroke = 2) +
scale_x_continuous(limits = c(1,4.5), breaks = c(1,2,3,4,5,6,7), labels = c("Strong\nDem.", "Not Very\nStrong Dem.", "Lean\nDem.", "Independent", "Lean\nRep.", "Not Very\nStrong Rep.", "Strong\nRep.")) +
scale_y_continuous(limits = c(1,3.5), breaks = c(1,2,3,4,5), labels = c("Very\nLiberal", "Liberal", "Moderate", "Conservative", "Very\nConservative")) +
theme_rb() +
scale_color_manual(values = c("#008BDE", "#FF9C00")) +
theme(panel.grid.major = element_line(colour = "white")) +
geom_text_repel(data = graph, aes(x = pid, y = id, label = year), family = "font") +
labs(x = "Partisanship", y = "Ideology", title = "Political Positions of Atheists and Agnostics", caption = "") +
add_text(x = 3, y = 3, word = "Agnostics", sz = 6) +
add_text(x = 2.5, y = 1.65, word = "Atheists", sz = 6) +
ggsave("E://ath_agn_pid_id.png", dpi = 300, width = 8.34, height = 5.15)
cc20 <- cces20 %>%
filter(faminc_new <= 16) %>%
mutate(ath = case_when(religpew == 9 ~ 1,
TRUE ~ 0)) %>%
mutate(agn = case_when(religpew == 10 ~ 1,
TRUE ~ 0)) %>%
mutate(white = case_when(race == 1 ~ 1, TRUE ~ 0)) %>%
mutate(inc = faminc_new) %>%
mutate(age = 2020 - birthyr) %>%
mutate(male = case_when(gender == 1 ~ 1, gender == 2 ~ 0)) %>%
mutate(south = case_when(inputstate == 1 | inputstate == 12 | inputstate == 13 | inputstate == 22 | inputstate == 28 | inputstate == 37 | inputstate == 45 | inputstate == 47 ~ 1, TRUE ~ 0)) %>%
mutate(att = car::recode(pew_churatd, "6=1; 5=2; 4=3; 3=4; 2=5; 1=6; else = NA")) %>%
mutate(lib = case_when(ideo5 == 1 | ideo5 == 2 ~ 1,
ideo5 == 3 | ideo5 == 4 | ideo5 == 5 ~ 0)) %>%
select(lib, inc, age, male, educ, att, south, ath, agn)
coef_names <- c("Education" = "educ",
"Age" = "age",
"Male" = "male",
"Income" = "inc",
"White" = "white",
"Attendance" = "att",
"South" = "south",
"Immigrant/First Gen." = "imm",
"Political Liberal" = "lib")
reg1 <- glm(ath ~ educ + age + male + inc + south + att + lib, family = "binomial", data = cc20)
reg2 <- glm(agn ~ educ + age + male + inc + south + att + lib, family = "binomial", data = cc20)
model <- plot_summs(reg1, reg2, model.names = c("Atheist", "Agnostic"), scale = TRUE, robust = "HC3", coefs = coef_names)
model +
theme_rb(legend = FALSE) +
theme(legend.position = c(.25, y = .75)) +
# scale_color_manual(values = c("#008BDE", "#FF9C00")) +
labs(x = "Coefficient Estimate", y = "", subtitle = "", title = "Predicting an Atheist or Agnostic Identity", caption = "@ryanburge\nData: CES 2020") +
ggsave("E://ath_agn.png", type = 'cairo-png', width = 8, height = 4)
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