add_trend.RdAdd linear and root trends to tibble
add_trend(original)
| original | tibble |
|---|
tibble with trend_lin and trend_root columns
Add linear and root trends to tibble
# dumb example: add trend to cross section :) :) add_trend(cars)#> speed dist trend_lin trend_root #> 1 4 2 1 1.000000 #> 2 4 10 2 1.414214 #> 3 7 4 3 1.732051 #> 4 7 22 4 2.000000 #> 5 8 16 5 2.236068 #> 6 9 10 6 2.449490 #> 7 10 18 7 2.645751 #> 8 10 26 8 2.828427 #> 9 10 34 9 3.000000 #> 10 11 17 10 3.162278 #> 11 11 28 11 3.316625 #> 12 12 14 12 3.464102 #> 13 12 20 13 3.605551 #> 14 12 24 14 3.741657 #> 15 12 28 15 3.872983 #> 16 13 26 16 4.000000 #> 17 13 34 17 4.123106 #> 18 13 34 18 4.242641 #> 19 13 46 19 4.358899 #> 20 14 26 20 4.472136 #> 21 14 36 21 4.582576 #> 22 14 60 22 4.690416 #> 23 14 80 23 4.795832 #> 24 15 20 24 4.898979 #> 25 15 26 25 5.000000 #> 26 15 54 26 5.099020 #> 27 16 32 27 5.196152 #> 28 16 40 28 5.291503 #> 29 17 32 29 5.385165 #> 30 17 40 30 5.477226 #> 31 17 50 31 5.567764 #> 32 18 42 32 5.656854 #> 33 18 56 33 5.744563 #> 34 18 76 34 5.830952 #> 35 18 84 35 5.916080 #> 36 19 36 36 6.000000 #> 37 19 46 37 6.082763 #> 38 19 68 38 6.164414 #> 39 20 32 39 6.244998 #> 40 20 48 40 6.324555 #> 41 20 52 41 6.403124 #> 42 20 56 42 6.480741 #> 43 20 64 43 6.557439 #> 44 22 66 44 6.633250 #> 45 23 54 45 6.708204 #> 46 24 70 46 6.782330 #> 47 24 92 47 6.855655 #> 48 24 93 48 6.928203 #> 49 24 120 49 7.000000 #> 50 25 85 50 7.071068