z {LCFdata}

Plotting data generated from a linear mixed-effects model from Tremblay & Newman (In Preparation).

Description

The model call is: lmer(formula = Amplitude ~ FreqBc * LengthBc * WMCc + (1 | Subject) + (1 | Item) + (0 + WMCc | Item), data = dat)

(see details for more).

The plotting data was generated from this model with function plotLMER3d.fnc.

Usage

data(z)

Format

The format is: num [1:30, 1:10] -1.83 -1.95 -2.07 -2.19 -2.32 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:30] "-2.88262910798122" "-2.50331876315363" "-2.12400841832605" "-1.74469807349846" ... ..$ : chr [1:10] "-0.1857142855" "-0.1410714285" "-0.0517857144999999" "-0.0428571424999999" ...

Details

The model includes a three-way interaction between WMCc (mean-centered working memory capacity), FreqBc (the frequency of use of the second word of a four-word sequence), and LengthBc (the length in number of letters of the second work of a four-word sequence) in addition to by-subject and by-item random intercepts and by-item random slopes for WMCc.

Source

The data is from:

Tremblay, Antoine. (2009). Processing Advantages of Lexical Bundles: Evidence from Self-paced Reading, Word and Sentence Recall, and Free Recall with Event-related Brain Potential Recordings. Ph.D. Dissertation. University of Alberta, Edmonton, Canada. Available for download at http://www.ualberta.ca/~antoinet/ThesisDraft_10_B.pdf.

The model is from:

Tremblay, Antoine, and Newman, Aaron J. (In Preparation). The Analysis of Event-related Potentials using Linear Mixed-effects Models with Complex Random-effect Structures.

See Also

eeg; erpFz

Examples

data(z)
str(z)