Examples for 'broom::augment.loess'


Tidy a(n) loess object

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>

[Package broom version 0.8.0 Index]