| lexicalMeasuresClasses | R Documentation |
A data frame labelling the lexical measures in the
dataset lexicalMeasures as measures of form or meaning.
data(lexicalMeasuresClasses)
A data frame with 23 observations on the following 3 variables.
Variablea factor with as levels the measures:
BigrMean Bigram Frequency.
CelSCELEX Frequency.
DentDerivational Entropy.
fbNToken Count of Backward Inconsistent Words.
fbVType Count of Backward Inconsistent Words.
FdifRatio of Frequencies in Written and Spoken English.
ffNToken Count of Forward Inconsistent Words.
ffNonzeroType Count of Forward Inconsistent Words with Nonzero Frequency.
ffVType Count of Forward Inconsistent Words
friendsNToken Count of Consistent Words.
friendsVType Count of Consistent Words.
IentInflectional Entropy
InBiInitial Bigram Frequency
LenLength in Letters
NcouOrthographic Neighborhood Density
NsyCNumber of Complex Synsets
NsySNumber of Simplex Synsets
NVratioRatio of Noun and Verb Frequencies
phonNToken Count of Phonological Neighbors.
phonVType Count of Phonological Neighbors.
spelNToken Count of Orthographic Neighbors.
spelVType Count of Orthographic Neighbors.
VfMorphological Family Size.
Classa factor with levels Form and Meaning.
Explanationa factor with glosses for the variables.
Baayen, R.H., Feldman, L. and Schreuder, R. (2006) Morphological influences on the recognition of monosyllabic monomorphemic words, Journal of Memory and Language, 53, 496-512.
## Not run:
library(cluster)
data(lexicalMeasures)
data(lexicalMeasuresClasses)
lexicalMeasures.cor = cor(lexicalMeasures[,-1], method = "spearman")^2
x = data.frame(measure = rownames(lexicalMeasures.cor),
cluster = cutree(diana(dist(lexicalMeasures.cor)), 5),
class = lexicalMeasuresClasses$Class)
x = x[order(x$cluster), ]
x
## End(Not run)
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