add_splines | R Documentation |

Adds spline terms calculated via `Hmisc::rcspline.eval()`

to a data frame.

```
add_splines(data, variable, knots = NULL, nk = 5, norm = 2, new_names = NULL)
```

`data` |
a data frame |

`variable` |
name of column in data |

`knots` |
knot locations. If not given, knots will be estimated using default
quantiles of |

`nk` |
number of knots. Default is 5. The minimum value is 3. |

`norm` |
‘0’ to use the terms as originally given by Devlin and
Weeks (1986), ‘1’ to normalize non-linear terms by the cube
of the spacing between the last two knots, ‘2’ to normalize by
the square of the spacing between the first and last knots (the
default). |

`new_names` |
Optionally specify names of new spline columns |

data frame

Knot locations are returned in `attr(data[[variable]], "knots")`

```
trial %>%
add_splines(age)
```

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