fadeRug

Resolution of Rug. Defaults to 30,
which means that the x- and y-axis are divided in 30 bins.

n.grid

Logical: whether or not to use the number of
observations in an area, i.e., more transparent equals more
observations. Default is FALSE, which means that the function only
distinguishes between observations in a certain region or not,
regardless how many 

gradual

Maximum of transparency, number between 0 (completely
transparent) and 1 (non-transparent). Defaults to .75.

max.alpha

Add a transparency Rug to a contour plot or image.

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).

Jacolien van Rij

itsadug

Interpreting Time Series and Autocorrelated Data Using GAMMs

fadeRug function

On Linux <code><a href="/link/x11?package=itsadug&version=0.8" rd-options="" data-mini-rdoc="itsadug::x11">x11</a></code> devices may not support transparency.
In that case, a solution might be to write the plots immediately to a file
using functions such as <code><a href="/link/pdf?package=itsadug&version=0.8" rd-options="" data-mini-rdoc="itsadug::pdf">pdf</a></code>, or <code><a href="/link/png?package=itsadug&version=0.8" rd-options="" data-mini-rdoc="itsadug::png">png</a></code>.

fadeRug: Utility function.

Description

Usage

Arguments

Value

Warning

See Also