sequenceA: Multivariate and irregular time series with pollen counts.
In distantia: Assessing Dissimilarity Between Multivariate Time Series
Description
Usage
Format
References
Description
A dataframe with 9 columns representing pollen types (betula, pinus, corylus, empetrum, cypera, artemisia, rumex) and 49 rows representing increasing depths with pollen counts taken from the Abernethy dataset (Birks and Mathewes (1978).
Usage
1
Format
Dataframe with 9 columns and 49 rows
References
Birks, H.H. and Mathewes, R.W. (1978) Studies in the vegetational history of Scotland. New Phytologist 80, 455-484.
distantia documentation built on Oct. 30, 2019, 10:05 a.m.
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Description Usage Format References
Description
A dataframe with 9 columns representing pollen types (betula, pinus, corylus, empetrum, cypera, artemisia, rumex) and 49 rows representing increasing depths with pollen counts taken from the Abernethy dataset (Birks and Mathewes (1978).
Usage
1 |
Format
Dataframe with 9 columns and 49 rows
References
Birks, H.H. and Mathewes, R.W. (1978) Studies in the vegetational history of Scotland. New Phytologist 80, 455-484.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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