library(haven)
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.4 ✔ readr 2.1.5
## ✔ forcats 1.0.0 ✔ stringr 1.5.1
## ✔ ggplot2 3.4.4 ✔ tibble 3.2.1
## ✔ lubridate 1.9.3 ✔ tidyr 1.3.1
## ✔ purrr 1.0.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(dplyr)
library(kableExtra)
##
## Attaching package: 'kableExtra'
##
## The following object is masked from 'package:dplyr':
##
## group_rows
setwd("/Users/karenvillanueva/Downloads")
data = read_dta("Pew July 13 2013.dta")
data = data %>%
mutate(Education = case_when(
educ2 == 1 ~ 10,
educ2 == 2 ~ 10,
educ2 == 3 ~ 11,
educ2 == 4 ~ 12,
educ2 == 5 ~ 12,
educ2 == 6 ~ 13,
educ2 == 7 ~ 13,
educ2 == 8 ~ 14,
party %in% c(9) ~ NA
))
data %>%
filter(q33 %in% c(1,2,3,4)) %>%
filter(Education %in% c(10,11,12,13,14)) %>%
mutate(q33 = as_factor(q33,levels="labels")) %>%
group_by(Education,q33) %>%
summarise(count = n()) %>%
mutate(share = count/sum(count)) %>%
select(-count) %>%
mutate(share = round(share*100,2),
share = paste0(share,"%")) %>%
mutate(Education = case_when(
Education == 10 ~ '(1) Some high school or less',
Education == 11 ~ '(2) High school graduate',
Education == 12 ~ '(3) Some college or 2-year degree',
Education == 13 ~ '(4) 4-year college or university degree',
Education == 14 ~ '(5) Graduate or professional degree',
TRUE ~ NA
)) %>%
spread(q33,share) %>%
kable(format='html', booktabs=TRUE,
caption=
"Rating of 2013 U.S. economic conditions by education level.") %>%
add_header_above(header = c(" " = 1, "Economic conditions rating" = 4)) %>%
kable_styling(bootstrap_options = "bordered")
## `summarise()` has grouped output by 'Education'. You can override using the
## `.groups` argument.
Rating of 2013 U.S. economic conditions by education level.
|
|
Economic conditions rating
|
|
Education
|
Excellent
|
Good
|
Only fair
|
Poor
|
- Some high school or less
|
6.45%
|
15.05%
|
47.31%
|
31.18%
|
- High school graduate
|
0.78%
|
16.41%
|
41.93%
|
40.89%
|
- Some college or 2-year degree
|
0.74%
|
14.11%
|
42.08%
|
43.07%
|
- 4-year college or university degree
|
1.67%
|
16.99%
|
50.42%
|
30.92%
|
- Graduate or professional degree
|
1.38%
|
17.97%
|
52.53%
|
28.11%
|