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# File name: table2.R
# In:
# - /Data/survey_experiment_data.RData
# Out:
# - /Tables/table2.tex
rm(list = ls())
gc()
require(tidyverse)
load('../Data/survey_experiment_data.RData')
# Basic test: Does pessimistic treatment increase support for mainstream candidate?
summary(main <- lm(scale(y) ~ z + factor(polAge) + factor(polOcc) + factor(polPlat) +
factor(age) + factor(sex) + factor(hisp) + white + black + asian + factor(pid),
foranal %>%
filter(duration > 180) %>%
mutate(sex = factor(sex,levels = c("Neither male nor female describes me accurately OR prefer not to say","Female","Male")),
polPlat = factor(polPlat,levels = c("none","hlth","educ")),
pid = factor(pid,levels = c("Strong Democrat","Democrat","Lean Democrat","Independent","Lean Republican","Republican","Strong Republican")),
covid_self = factor(covid_self,levels = c("No","Maybe","Yes")),
covid_pers = factor(covid_pers,levels = c("No","Maybe","Yes")))))
summary(biv <- lm(yBin ~ z,
foranal %>%
filter(duration > 0) %>%
mutate(sex = factor(sex,levels = c("Neither male nor female describes me accurately OR prefer not to say","Female","Male")),
polPlat = factor(polPlat,levels = c("none","hlth","educ")),
pid = factor(pid,levels = c("Strong Democrat","Democrat","Lean Democrat","Independent","Lean Republican","Republican","Strong Republican")),
covid_self = factor(covid_self,levels = c("No","Maybe","Yes")),
covid_pers = factor(covid_pers,levels = c("No","Maybe","Yes")))))
summary(ind <- lm(yBin ~ z +
factor(age) + factor(sex) + factor(hisp) + white + black + asian + factor(pid),
foranal %>%
filter(duration > 0) %>%
mutate(sex = factor(sex,levels = c("Neither male nor female describes me accurately OR prefer not to say","Female","Male")),
polPlat = factor(polPlat,levels = c("none","hlth","educ")),
pid = factor(pid,levels = c("Strong Democrat","Democrat","Lean Democrat","Independent","Lean Republican","Republican","Strong Republican")),
covid_self = factor(covid_self,levels = c("No","Maybe","Yes")),
covid_pers = factor(covid_pers,levels = c("No","Maybe","Yes")))))
summary(indcov <- lm(yBin ~ z +
factor(age) + factor(sex) + factor(hisp) + white + black + asian + factor(pid),
foranal %>%
filter(duration > 0) %>%
mutate(sex = factor(sex,levels = c("Neither male nor female describes me accurately OR prefer not to say","Female","Male")),
polPlat = factor(polPlat,levels = c("none","hlth","educ")),
pid = factor(pid,levels = c("Strong Democrat","Democrat","Lean Democrat","Independent","Lean Republican","Republican","Strong Republican")),
covid_self = factor(covid_self,levels = c("No","Maybe","Yes")),
covid_pers = factor(covid_pers,levels = c("No","Maybe","Yes")))))
summary(full <- lm(yBin ~ z +
factor(age) + factor(sex) + factor(hisp) + white + black + asian + factor(pid) +
factor(polAge) + factor(polOcc) + factor(polPlat),
foranal %>%
filter(duration > 0) %>%
mutate(sex = factor(sex,levels = c("Neither male nor female describes me accurately OR prefer not to say","Female","Male")),
polPlat = factor(polPlat,levels = c("none","hlth","educ")),
pid = factor(pid,levels = c("Strong Democrat","Democrat","Lean Democrat","Independent","Lean Republican","Republican","Strong Republican")),
covid_self = factor(covid_self,levels = c("No","Maybe","Yes")),
covid_pers = factor(covid_pers,levels = c("No","Maybe","Yes")))))
summary(attentive <- lm(yBin ~ z +
factor(age) + factor(sex) + factor(hisp) + white + black + asian + factor(pid) +
factor(polAge) + factor(polOcc) + factor(polPlat),
foranal %>%
filter(duration > 150) %>%
mutate(sex = factor(sex,levels = c("Neither male nor female describes me accurately OR prefer not to say","Female","Male")),
polPlat = factor(polPlat,levels = c("none","hlth","educ")),
pid = factor(pid,levels = c("Strong Democrat","Democrat","Lean Democrat","Independent","Lean Republican","Republican","Strong Republican")),
covid_self = factor(covid_self,levels = c("No","Maybe","Yes")),
covid_pers = factor(covid_pers,levels = c("No","Maybe","Yes")))))
require(stargazer)
stargazer(biv,ind,full,attentive,keep.stat = c("n","rsq"),keep = "pid|covid|z",
covariate.labels = c("Anxiety Prime","Democrat","Lean Dem","Independent","Lean GOP","Republican","Strong GOP"),
star.char = c('\\dag','*','**','***'),
star.cutoffs = c(.1,.05,.01,.001),
out = "../Tables/table2.tex")
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