heid: Lexical decision latencies for words ending in -heid

Description Usage Format References Examples

Description

A simplified version of the primingHeid dataset.

Usage

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Format

A data frame with 832 observations on the following 4 variables.

Subject

a factor with subjects as levels.

Word

a factor with words as levels.

RT

a numeric vector with logarithmically transformed reaction times in visual lexical decision.

BaseFrequency

a numeric vector with the logarithmically transformed frequency of the base adjective of the word with the suffix -heid.

References

De Vaan, L., Schreuder, R. and Baayen, R. H. (2007) Regular morphologically complex neologisms leave detectable traces in the mental lexicon, The Mental Lexicon, 2, in press.

Examples

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## Not run: 
data(heid)
heid = aggregate(heid$RT, list(heid$Word, heid$BaseFrequency), mean)
colnames(heid) = c("Word", "BaseFrequency", "MeanRT")

## End(Not run)

languageR documentation built on May 2, 2019, 10:02 a.m.