A data frame labelling the lexical measures in the
lexicalMeasures as measures of form or meaning.
A data frame with 23 observations on the following 3 variables.
a factor with as levels the measures:
Mean Bigram Frequency.
Token Count of Backward Inconsistent Words.
Type Count of Backward Inconsistent Words.
Ratio of Frequencies in Written and Spoken English.
Token Count of Forward Inconsistent Words.
Type Count of Forward Inconsistent Words with Nonzero Frequency.
Type Count of Forward Inconsistent Words
Token Count of Consistent Words.
Type Count of Consistent Words.
Initial Bigram Frequency
Length in Letters
Orthographic Neighborhood Density
Number of Complex Synsets
Number of Simplex Synsets
Ratio of Noun and Verb Frequencies
Token Count of Phonological Neighbors.
Type Count of Phonological Neighbors.
Token Count of Orthographic Neighbors.
Type Count of Orthographic Neighbors.
Morphological Family Size.
a factor with levels
a 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.
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## 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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