Overview

The tidyverse function I am going to look at is between from dplyr.

Load the Libraries

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   3.5.2     ✔ tibble    3.2.1
## ✔ lubridate 1.9.4     ✔ tidyr     1.3.1
## ✔ purrr     1.0.4     
## ── 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(nycflights13)
data(flights)

Between Function

I chose between because it’s a way more efficient way to do x >= left & x <= right which I tend to do a lot.

Let’s test out the between function using nycflights:

filter(flights, between(distance, 800, 1500))
## # A tibble: 100,171 × 19
##     year month   day dep_time sched_dep_time dep_delay arr_time sched_arr_time
##    <int> <int> <int>    <int>          <int>     <dbl>    <int>          <int>
##  1  2013     1     1      517            515         2      830            819
##  2  2013     1     1      533            529         4      850            830
##  3  2013     1     1      542            540         2      923            850
##  4  2013     1     1      555            600        -5      913            854
##  5  2013     1     1      557            600        -3      838            846
##  6  2013     1     1      558            600        -2      849            851
##  7  2013     1     1      558            600        -2      853            856
##  8  2013     1     1      559            600        -1      941            910
##  9  2013     1     1      600            600         0      851            858
## 10  2013     1     1      601            600         1      844            850
## # ℹ 100,161 more rows
## # ℹ 11 more variables: arr_delay <dbl>, carrier <chr>, flight <int>,
## #   tailnum <chr>, origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>,
## #   hour <dbl>, minute <dbl>, time_hour <dttm>

Now we can easily see the filtered distance flights without typing out distance >= 800 & x <= 1500.

Addition by Maxfield Raynolds:

Inverse of between!

In the interest of using between, we could also use the inverse of between by including an exclamation point!

Using the !between() we can filter all of the flights that are less than 800 or more than 1500 miles.

filter(flights, !between(distance, 800, 1500))
## # A tibble: 236,605 × 19
##     year month   day dep_time sched_dep_time dep_delay arr_time sched_arr_time
##    <int> <int> <int>    <int>          <int>     <dbl>    <int>          <int>
##  1  2013     1     1      544            545        -1     1004           1022
##  2  2013     1     1      554            600        -6      812            837
##  3  2013     1     1      554            558        -4      740            728
##  4  2013     1     1      557            600        -3      709            723
##  5  2013     1     1      558            600        -2      753            745
##  6  2013     1     1      558            600        -2      924            917
##  7  2013     1     1      558            600        -2      923            937
##  8  2013     1     1      559            559         0      702            706
##  9  2013     1     1      559            600        -1      854            902
## 10  2013     1     1      600            600         0      837            825
## # ℹ 236,595 more rows
## # ℹ 11 more variables: arr_delay <dbl>, carrier <chr>, flight <int>,
## #   tailnum <chr>, origin <chr>, dest <chr>, air_time <dbl>, distance <dbl>,
## #   hour <dbl>, minute <dbl>, time_hour <dttm>