7.7 Mutate
(flights_sml <- select(flights,
year:day,
ends_with('delay'),
distance,
air_time))
## # A tibble: 336,776 x 7
## year month day dep_delay arr_delay distance air_time
## <int> <int> <int> <dbl> <dbl> <dbl> <dbl>
## 1 2013 1 1 2 11 1400 227
## 2 2013 1 1 4 20 1416 227
## 3 2013 1 1 2 33 1089 160
## 4 2013 1 1 -1 -18 1576 183
## 5 2013 1 1 -6 -25 762 116
## 6 2013 1 1 -4 12 719 150
## 7 2013 1 1 -5 19 1065 158
## 8 2013 1 1 -3 -14 229 53
## 9 2013 1 1 -3 -8 944 140
## 10 2013 1 1 -2 8 733 138
## # ... with 336,766 more rowsmutate(flights_sml,
gain = arr_delay - dep_delay,
speed = distance / air_time * 60)
## # A tibble: 336,776 x 9
## year month day dep_delay arr_delay distance air_time gain speed
## <int> <int> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 2013 1 1 2 11 1400 227 9 370.
## 2 2013 1 1 4 20 1416 227 16 374.
## 3 2013 1 1 2 33 1089 160 31 408.
## 4 2013 1 1 -1 -18 1576 183 -17 517.
## 5 2013 1 1 -6 -25 762 116 -19 394.
## 6 2013 1 1 -4 12 719 150 16 288.
## 7 2013 1 1 -5 19 1065 158 24 404.
## 8 2013 1 1 -3 -14 229 53 -11 259.
## 9 2013 1 1 -3 -8 944 140 -5 405.
## 10 2013 1 1 -2 8 733 138 10 319.
## # ... with 336,766 more rowsmutate(flights_sml,
gain = arr_delay - dep_delay,
speed = distance / air_time * 60,
hours = air_time / 60,
gain_per_hour = gain / hours
)
## # A tibble: 336,776 x 11
## year month day dep_delay arr_delay distance air_time gain speed
## <int> <int> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 2013 1 1 2 11 1400 227 9 370.
## 2 2013 1 1 4 20 1416 227 16 374.
## 3 2013 1 1 2 33 1089 160 31 408.
## 4 2013 1 1 -1 -18 1576 183 -17 517.
## 5 2013 1 1 -6 -25 762 116 -19 394.
## 6 2013 1 1 -4 12 719 150 16 288.
## 7 2013 1 1 -5 19 1065 158 24 404.
## 8 2013 1 1 -3 -14 229 53 -11 259.
## 9 2013 1 1 -3 -8 944 140 -5 405.
## 10 2013 1 1 -2 8 733 138 10 319.
## # ... with 336,766 more rows, and 2 more variables: hours <dbl>,
## # gain_per_hour <dbl>