sizeRatings: Size ratings for 81 English concrete nouns
In languageR: Analyzing Linguistic Data: A Practical Introduction to Statistics

Description Usage Format Details Examples

Subjective estimates of the size of the referents of 81 English concrete nouns, collected from 38 subjects.

1	data(sizeRatings)

A data frame with 3078 observations on the following 7 variables.

Rating: a numeric vector with subjective estimates of the size of the word's referent.
Subject: a factor with subjects as levels.
Word: a factor with words as levels.
Class: a factor with levels animal and plant.
Naive: a factor with levels naive and notNaive, coding whether the subject new about the purpose of the experiment.
Language: a factor with levels English and notEnglish coding whether the subject was a native speaker of English.
MeanFamiliarity: a numeric vector for the by-item mean familiarity ratings.

Data collected with Jen Hay, University of Canterbury, Christchurch, New Zealand, 2004.

## Not run: 
data(sizeRatings)
require(lme4)
require(lmerTest)
require(optimx)
sizeRatings.lmer = lmer(Rating ~ Class * Naive + 
  MeanFamiliarity * Language + (1|Subject) + (1|Word), 
  control=lmerControl(optimizer="optimx",optCtrl=list(method="nlminb")),
  data = sizeRatings)
summary(sizeRatings.lmer)

## End(Not run)