start_event

data

Test string, name of the column that describes the order 
withing the time series. Default is "Time".

column

A text string or vector indicating the columns that define the 
unique time series. Default is "Event".

event

The name of the new column with the start point of each time 
series. Default is "start.event".

label

In case <code>event</code> is not a single column, providing a 
text string will add a column with this name that defines unique time 
series. Default is NULL (no new column for time series is created).

label.event

Logical: whether or not to order each time series. 
Default is TRUE, maybe set to FALSE with large data frames that are already ordered.

order

Determine the starting point for each time series.

GAMM (Generalized Additive Mixed Modeling; Lin & Zhang, 1999)
    as implemented in the R package mgcv (Wood, S.N., 2006; 2011) is a nonlinear
    regression analysis which is particularly useful for time course data such as
    EEG, pupil dilation, gaze data (eye tracking), and articulography recordings,
    but also for behavioral data such as reaction times and response data. As time
    course measures are sensitive to autocorrelation problems, GAMMs implements
    methods to reduce the autocorrelation problems. This package includes functions
    for the evaluation of GAMM models (e.g., model comparisons, determining regions
    of significance, inspection of autocorrelational structure in residuals)
    and interpreting of GAMMs (e.g., visualization of complex interactions, and
    contrasts).

start_event: Determine the starting point for each time series.

Description

Usage

Arguments

Value

See Also

Examples