23  NNYFS Case Study

This is a DRAFT version of this Chapter.

This is a sketchy draft. I’ll remove this notice when I post a version of this Chapter that is essentially finished.

23.1 R setup for this chapter

Note

This section loads all needed R packages for this chapter. Appendix A lists all R packages and data sets used in the book, and also provides R session information. Appendix B describes the 431-Love.R script, and demonstrates its use.

library(knitr)
library(mice)
library(naniar)
library(rstanarm)

library(easystats)
library(tidyverse)

source("data/Love-431.R")
theme_set(theme_bw())

23.2 Data should be NNYFS

Note

Appendix C provides further guidance on pulling data from other systems into R, while Appendix D gives more information (including download links) for all data sets used in this book.

nnyfs <- read_rds("data/nnyfs.Rds")

miss_var_summary(nnyfs)

# A tibble: 45 × 3
   variable             n_miss pct_miss
   <chr>                 <int>    <num>
 1 educ_child              337   22.2  
 2 enjoy_recess            278   18.3  
 3 plank_time              134    8.83 
 4 calf_skinfold           128    8.43 
 5 income_pov               89    5.86 
 6 subscapular_skinfold     67    4.41 
 7 educ_adult               22    1.45 
 8 triceps_skinfold         21    1.38 
 9 salt_used                13    0.856
10 respondent               12    0.791
# ℹ 35 more rows

23.3 For More Information