| primingHeid {languageR} | R Documentation |
Primed lexical decision latencies for Dutch neologisms ending in the suffix -heid.
data(primingHeid)
A data frame with 832 observations on the following 13 variables.
SubjectWordTrialRTConditionbaseheid (prime is the base word) and
heid (the prime is the neologism)RatingFrequencyBaseFrequencyLengthInLettersFamilySizeNumberOfSynsetsResponseToPrimecorrect and
incorrect for the response to the prime.RTtoPrimeDe 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.
## Not run: data(primingHeid) library(lme4, keep.source=FALSE) primingHeid.lmer = lmer(RT ~ RTtoPrime * ResponseToPrime + Condition + (1|Subject) + (1|Word), data = primingHeid) pvals.fnc(primingHeid.lmer)$summary # model criticism primingHeid.lmer = lmer(RT ~ RTtoPrime * ResponseToPrime + Condition + (1|Subject) + (1|Word), data = primingHeid[abs(scale(resid(primingHeid.lmer)))<2.5,]) pvals.fnc(primingHeid.lmer)$summary ## End(Not run)