languageR (version 1.5.0)

quasif: Simulated data set with subjects and items requiring quasi-F ratios

Description

Simulated lexical decision latencies with SOA as treatment, traditionally requiring an analysis using quasi-F ratios, as available in Raaijmakers et al. (1999).

Usage

data(quasif)

Format

A data frame with 64 observations on the following 4 variables.

Subject

a factor coding subjects.

RT

a numeric vector for simulated reaction times in lexical decision.

Item

a factor coding items.

SOA

a factor coding SOA treatment with levels long and short.

Examples

# NOT RUN {
data(quasif)
items.quasif.fnc(quasif)
# }