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Lagged data generated by prepareLaggedData.

palaeodataLagged.Rd

A dataframe resulting from the application of prepareLaggedData to the dataset palaeodata. The dataframe columns are named using the pattern VariableName__LagValue:

Usage

data(palaeodataLagged)

Format

dataframe with 19 columns and 3988 rows.

Details

  • pollen.pinus__0 numeric, values of the response variable (pollen counts of Pinus) at lag 0 (current time). This column is used as the response variable by computeMemory.

  • pollen.pinus__0.2-1 numeric, time-delayed values of the response for lags 0.2 to 1 (in ky). These columns represent the endogenous ecological memory.

  • climate.temperatureAverage__0 numeric, temperature values at lag 0 (concurrent effect).

  • climate.rainfallAverage__0 numeric, rainfall values at lag 0 (concurrent effect).

  • climate.temperatureAverage__0.2-1 numeric, time-delayed temperature values for lags 0.2 to 1 (exogenous memory).

  • climate.rainfallAverage__0.2-1 numeric, time-delayed rainfall values for lags 0.2 to 1 (exogenous memory).

  • time numeric, the time/age column.

The dataframe has attributes response and drivers that are automatically used by computeMemory.

See also

Other example_data: climate, palaeodata, palaeodataMemory, pollen

Author

Blas M. Benito <blasbenito@gmail.com>