Quick calculations - that’s the name of the game when it comes to mutate().
library('tidyverse')
library('nycflights13')
Mutate
mutate() allows users to alter current variables and create new ones
through various vectorized functions. In the above example the variable
speed is created and is equal to distance divided by air time multiplied
by 60. The pipe function %>%, is used to move the mutate() output
to select(). The new variable, speed, is output by the select()
function, along with each flight’s tail number, air time, and travel
distance.
mutate(flights, speed = distance / air_time * 60) %>%
select(tailnum, distance, air_time, speed)
## # A tibble: 336,776 x 4
## tailnum distance air_time speed
## <chr> <dbl> <dbl> <dbl>
## 1 N14228 1400 227 370.
## 2 N24211 1416 227 374.
## 3 N619AA 1089 160 408.
## 4 N804JB 1576 183 517.
## 5 N668DN 762 116 394.
## 6 N39463 719 150 288.
## 7 N516JB 1065 158 404.
## 8 N829AS 229 53 259.
## 9 N593JB 944 140 405.
## 10 N3ALAA 733 138 319.
## # … with 336,766 more rows
That’s all for now!
- Fisher
Comments