Description Usage Arguments Details Value Author(s) Examples

It merges palaeoecological datasets with different time intervals between consecutive samples into a single dataset with samples separated by regular time intervals defined by the user

1 2 3 4 5 | ```
mergePalaeoData(
datasets.list = NULL,
time.column = NULL,
interpolation.interval = NULL
)
``` |

`datasets.list` |
list of dataframes, as in |

`time.column` |
character string, name of the time/age column of the datasets provided in |

`interpolation.interval` |
temporal resolution of the output data, in the same units as the age/time columns of the input data |

This function fits a `loess`

model of the form `y ~ x`

, where `y`

is any column given by `columns.to.interpolate`

and `x`

is the column given by the `time.column`

argument. The model is used to interpolate column `y`

on a regular time series of intervals equal to `interpolation.interval`

. All columns in every provided dataset go through this process to generate the final data with samples separated by regular time intervals. Non-numeric columns are ignored, and absent from the output dataframe.

A dataframe with every column of the initial dataset interpolated to a regular time grid of resolution defined by `interpolation.interval`

. Column names follow the form datasetName.columnName, so the origin of columns can be tracked.

Blas M. Benito <blasbenito@gmail.com>

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