summary_data

data

Logical: whether or not to print the summary.

print

Number: maximum number of values being mentioned in the summary.
If NULL all values are being mentioned. Defaults to 10.

The function prints a summary of the data. 
Similar to the function <code><a href="/link/str?package=itsadug&version=2.0&to=utils" rd-options="utils" data-mini-rdoc="utils::str">str</a></code>, but easier readable.

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).

summary_data: Print a descriptive summary of a data frame.

Description

Usage

Arguments

Value

See Also

Examples