Here's toy example if your data were structured as a tibble
library(dplyr)
library(magrittr)
library(tibble)
tib <- as.tibble(read.csv("toytib.csv", stringsAsFactors = FALSE))
tib
# A tibble: 3 x 5
Name Street City State Zip
<chr> <chr> <chr> <chr> <chr>
1 Harry Liversedge 2008 Elliot Road Quantico VA 22134-5030
2 Eric Eriksen 10 Dauphine St. New Orleans LA 70146-5400
3 Alan Hale 4200 Wilson Blvd. Arlington VA 22203-1804
new <- tib %>% select(Name, Street)
new
A tibble: 3 x 2
Name Street
<chr> <chr>
1 Harry Liversedge 2008 Elliot Road
2 Eric Eriksen 10 Dauphine St.
3 Alan Hale 4200 Wilson Blvd.
since without a reproducible example, called a reprex , I can only guess the data structure of clean
.