Time series decomposition using differences (trend elimination)
AutoD2, CrossD2 or CenterD2 analysis of a multiple time-series
Time decomposition using the CENSUS II method
Test if an increasing or decreasing trend exists in a time series
Regulation of one or several time series using various methods
Analyze turning points (peaks or pits)
Choose variables using the Escoufier's equivalent vectors method
Complete disjoined coded data (binary coding)
Collect parameters ("specifications") from one object to use them in another analysis
Extract a subset of the original dataset
Gleissberg distribution probability
Calculate local trends using cumsum
Time series decomposition by the LOESS method
Calculate and plot a turnogram for a regular time series
Compute and plot a distogram
Compute and plot a semi-variogram
Time series decomposition using a running median
Pennington statistics on a data frame or time series
Time series decomposition using a regression model
Get the first element of a vector
Sort variables by abundance
Descriptive statistics on a data frame or time series
Is this object a time series?
Convert a 'regul' or a 'tsd' object into a time series
Time series decomposition using eigenvector filtering (EVF)
Buys-Ballot table
Test various regulation parameters
Format a nice time units for labels in graphs
Regulate a series using the constant value method
Decomposition of one or several regular time series using various methods
Sliding statistics
Convert time units from "days" to "years" or back
Regulate a series using the area method
Calculate Pennington statistics
Get the last element of a vector
Adjust regulation parameters
Time series decomposition using a moving average
Regulation of a series using a linear interpolation
Regulation of a time series using splines
Determine matching observation with a tolerance in time-scale
A data frame of six phytoplankton taxa followed in time at one station
A data frame of 163 benthic species measured across a transect
Several zooplankton taxa measured across a transect
Physico-chemical records at the same stations as for marbio
Table of probabilities according to the Gleissberg distribution