Description Usage Arguments Details Value Author(s) References Examples

Piece-wise cubic or linear spline interpolation.

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`y` |
A vector of 'knots', between which the function will interpolate points. |

`x` |
The 'x' coordinates corresponding to each knot. If not specified, the knots are assumed to be equally spaced. |

`steps` |
The number of interpolating steps between each knot. Increasing this number will result in a smoother interpolation. If the knots are not equally spaced along the x-axis, the interpolated points will not be equally spaced across the entire curve. |

`increment` |
If this is greater than 0, interpolated points are separated along the x-axis by this value. Note that if the knot locations are not multiples of this increment, there will be irregularities in the spacing of the interpolated points. |

`show` |
If TRUE, the result of the interpolation is shown in a plot. |

`type` |
If 'cubic', a natural cubic spline interpolation is performed. If 'linear', a linear interpolation is performed. |

`...` |
Additional arguments are passed to the internal call of plot() if show = TRUE. |

By default, this function performs a 'natural' cubic spline interpolation between the points provided by the user. Optionally, a linear interpolation between the points may be carried out.

A dataframe with columns corresponding to the x and y dimensions of the interpolated points is returned.

`x` |
The x-axis coordinates of the interpolated points. |

`y` |
The y-axis coordinates of the interpolated points. |

Santiago Barreda <sbarreda@ucdavis.edu>

http://en.wikipedia.org/wiki/Spline_interpolation

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