make_pelogit_fnc

A positive integer indicating the number of observations 
used in the original transformation calculation.

ObsPerBin

A positive number used in the original transformation calculation.

Constant

<code>make_pelogit_fnc</code> creates a function that can transform empirical logit
values back to probability scale using the number of samples and constant
that were used in the original transformation. This function can then be use
to backtransform value predicted by a statistical model.

Gaze data from the Visual World Paradigm requires significant
preprocessing prior to plotting and analyzing the data. This package
provides functions for preparing visual world eye-tracking data for
statistical analysis and plotting. It can prepare data for linear
analyses (e.g., ANOVA, Gaussian-family LMER, Gaussian-family GAMM) as
well as logistic analyses (e.g., binomial-family LMER and binomial-family GAMM).
Additionally, it contains various plotting functions for creating grand average and
conditional average plots. See the vignette for samples of the functionality.
Currently, the functions in this package are designed for handling data
collected with SR Research Eyelink eye trackers using Sample Reports created
in SR Research Data Viewer.  While we would like to add functionality
for data collected with other systems in the future, the current package is
considered to be feature-complete; further updates will mainly entail maintenance
and the addition of minor functionality.

Vincent Porretta

make_pelogit_fnc: Create function for back-transforming empirical logits to proportions

Description

Usage

Arguments

Value

Examples