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pastecs (version 1.4.2)

Package for Analysis of Space-Time Ecological Series

Description

Regularisation, decomposition and analysis of space-time series. The pastecs R package is a PNEC-Art4 and IFREMER (Benoit Beliaeff ) initiative to bring PASSTEC 2000 functionalities to R.

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Install

install.packages('pastecs')

Monthly Downloads

20,045

Version

1.4.2

License

GPL-2

Issues

Pull Requests

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Repository

https://github.com/SciViews/pastecs

Maintainer

Philippe Grosjean

Last Published

February 1st, 2024

Functions in pastecs (1.4.2)

Buys-Ballot table

Extract a subset of the original dataset

Convert time units from "days" to "years" or back

Compute and plot a distogram

Format a nice time units for labels in graphs

Get the first element of a vector

Is this object a time series?

.gleissberg.table

Table of probabilities according to the Gleissberg distribution

Choose variables using the Escoufier's equivalent vectors method

Time series decomposition using differences (trend elimination)

Get the last element of a vector

Time series decomposition by the LOESS method

Regulate a series using the constant value method

Complete disjoined coded data (binary coding)

Gleissberg distribution probability

Several zooplankton taxa measured across a transect

Regulate a series using the area method

Time series decomposition using eigenvector filtering (EVF)

Time series decomposition using a regression model

Regulation of a series using a linear interpolation

Time series decomposition using a running median

Determine matching observation with a tolerance in time-scale

A data frame of six phytoplankton taxa followed in time at one station

Sliding statistics

Calculate Pennington statistics

Physico-chemical records at the same stations as for marbio

Descriptive statistics on a data frame or time series

Pennington statistics on a data frame or time series

Adjust regulation parameters

Test if an increasing or decreasing trend exists in a time series

Test various regulation parameters

Calculate local trends using cumsum

Regulation of a time series using splines

Calculate and plot a turnogram for a regular time series

Analyze turning points (peaks or pits)

Collect parameters ("specifications") from one object to use them in another analysis

Regulation of one or several time series using various methods

Compute and plot a semi-variogram

Decomposition of one or several regular time series using various methods

Convert a 'regul' or a 'tsd' object into a time series

Sort variables by abundance

Time series decomposition using a moving average

Time decomposition using the CENSUS II method

AutoD2, CrossD2 or CenterD2 analysis of a multiple time-series

A data frame of 163 benthic species measured across a transect