Aliases: augment.loess loess_tidiers
Keywords:
### ** Examples lo <- loess( mpg ~ hp + wt, mtcars, control = loess.control(surface = "direct") ) augment(lo)
# A tibble: 32 × 6 .rownames mpg hp wt .fitted .resid <chr> <dbl> <dbl> <dbl> <dbl> <dbl> 1 Mazda RX4 21 110 2.62 21.4 -0.435 2 Mazda RX4 Wag 21 110 2.88 20.9 0.0976 3 Datsun 710 22.8 93 2.32 24.7 -1.88 4 Hornet 4 Drive 21.4 110 3.22 19.6 1.76 5 Hornet Sportabout 18.7 175 3.44 16.7 2.02 6 Valiant 18.1 105 3.46 18.9 -0.833 7 Duster 360 14.3 245 3.57 14.9 -0.641 8 Merc 240D 24.4 62 3.19 25.1 -0.695 9 Merc 230 22.8 95 3.15 21.4 1.43 10 Merc 280 19.2 123 3.44 18.4 0.801 # … with 22 more rows
# with all columns of original data augment(lo, mtcars)
# A tibble: 32 × 14 .rownames mpg cyl disp hp drat wt qsec vs am gear carb <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> 1 Mazda RX4 21 6 160 110 3.9 2.62 16.5 0 1 4 4 2 Mazda RX4 … 21 6 160 110 3.9 2.88 17.0 0 1 4 4 3 Datsun 710 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 4 Hornet 4 D… 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1 5 Hornet Spo… 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2 6 Valiant 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1 7 Duster 360 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4 8 Merc 240D 24.4 4 147. 62 3.69 3.19 20 1 0 4 2 9 Merc 230 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2 10 Merc 280 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4 # … with 22 more rows, and 2 more variables: .fitted <dbl>, .resid <dbl>
# with a new dataset augment(lo, newdata = head(mtcars))
# A tibble: 6 × 14 .rownames mpg cyl disp hp drat wt qsec vs am gear carb <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> 1 Mazda RX4 21 6 160 110 3.9 2.62 16.5 0 1 4 4 2 Mazda RX4 W… 21 6 160 110 3.9 2.88 17.0 0 1 4 4 3 Datsun 710 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 4 Hornet 4 Dr… 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1 5 Hornet Spor… 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2 6 Valiant 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1 # … with 2 more variables: .fitted <dbl>, .resid <dbl>