Supporting Statistical Analysis for Research

## 4.2 Naming variables

These exercises use the PSID.csv data set that was imported in the prior section.

1. Import the PSID.csv data set.

library(tidyverse)
psid_path <- file.path("..", "datasets", "PSID.csv")
psid <- read_csv(psid_path, col_types = cols())
Warning: Missing column names filled in: 'X1' [1]
glimpse(psid)
Observations: 4,856
Variables: 9
\$ X1       <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16...
\$ intnum   <dbl> 4, 4, 4, 4, 5, 6, 6, 7, 7, 7, 10, 10, 10, 11, 13, 13,...
\$ persnum  <dbl> 4, 6, 7, 173, 2, 4, 172, 4, 170, 171, 3, 171, 178, 17...
\$ age      <dbl> 39, 35, 33, 39, 47, 44, 38, 38, 39, 37, 48, 47, 40, 3...
\$ educatn  <dbl> 12, 12, 12, 10, 9, 12, 16, 9, 12, 11, 13, 12, 12, 16,...
\$ earnings <dbl> 77250, 12000, 8000, 15000, 6500, 6500, 7000, 5000, 21...
\$ hours    <dbl> 2940, 2040, 693, 1904, 1683, 2024, 1144, 2080, 2575, ...
\$ kids     <dbl> 2, 2, 1, 2, 5, 2, 3, 4, 3, 5, 98, 3, 0, 0, 2, 0, 0, 1...
\$ married  <chr> "married", "divorced", "married", "married", "married...
2. Set the variable names to something useful, if they are not already. Change at least one name.

psid <-
rename(
psid,
obs_num = X1,
intvw_num = intnum,
person_id = persnum,
marital_status = married
)