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pastecs (version 1.3.21)

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

16,827

Version

1.3.21

License

GPL-2

Issues

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Repository

https://github.com/phgrosjean/pastecs

Maintainer

Philippe Grosjean

Last Published

March 15th, 2018

Functions in pastecs (1.3.21)

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

Time decomposition using the CENSUS II method

Complete disjoined coded data (binary coding)

Several zooplankton taxa measured across a transect

Time series decomposition by the LOESS method

Time series decomposition using a running median

Physico-chemical records at the same stations as for marbio

Regulation of a series using a linear interpolation

Extract a subset of the original dataset

Regulate a series using the constant value method

Get the first element of a vector

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

Descriptive statistics on a data frame or time series

Buys-Ballot table

Regulation of a time series using splines

Pennington statistics on a data frame or time series

Compute and plot a semi-variogram

Determine matching observation with a tolerance in time-scale

Regulation of one or several time series using various methods

Calculate Pennington statistics

Sliding statistics

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

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

Decomposition of one or several regular time series using various methods

Time series decomposition using differences (trend elimination)

Time series decomposition using eigenvector filtering (EVF)

.gleissberg.table

Table of probabilities according to the Gleissberg distribution

Is this object a time series?

Gleissberg distribution probability

Regulate a series using the area method

Adjust regulation parameters

Test various regulation parameters

Sort variables by abundance

A data frame of 163 benthic species measured across a transect

Compute and plot a distogram

Choose variables using the Escoufier's equivalent vectors method

Get the last element of a vector

Calculate local trends using cumsum

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

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

Calculate and plot a turnogram for a regular time series

Analyze turning points (peaks or pits)

Format a nice time units for labels in graphs

Time series decomposition using a moving average

Time series decomposition using a regression model