| spanishFunctionWords {languageR} | R Documentation |
Relative frequencies of the 120 most frequent function words in 15 texts contributed by 3 authors.
data(spanishFunctionWords)
A data frame with 120 observations on 15 variables documented in
spanishMeta.
Spassova, M. S. (2006) Las marcas sintacticas de atribucion forense de autoria de textos escritos en espanol, Masters thesis, Institut Universitari de Linguistica Aplicada, Universitat Pompeu Fabra, Barcelona.
data(spanishFunctionWords)
data(spanishMeta)
# principal components analysis
spanishFunctionWords.t = t(spanishFunctionWords)
spanishFunctionWords.t =
spanishFunctionWords.t[order(rownames(spanishFunctionWords.t)), ]
spanishFunctionWords.pca =
prcomp(spanishFunctionWords.t, center = TRUE, scale = TRUE)
sdevs = spanishFunctionWords.pca$sdev^2
n = sum(sdevs/sum(sdevs)> 0.05)
# linear discriminant analysis with cross-validation
library(MASS)
predictedClasses = rep("", 15)
for (i in 1:15) {
training = spanishFunctionWords.t[-i,]
trainingAuthor = spanishMeta[-i,]$Author
training.pca = prcomp(training, center = TRUE, scale = TRUE)
training.x = data.frame(training.pca$x)
training.x = training.x[order(rownames(training.x)), ]
training.pca.lda = lda(training[ , 1:n], trainingAuthor)
cl = predict(training.pca.lda, spanishFunctionWords.t[,1:n])$class[i]
predictedClasses[i] = as.character(cl)
}
ncorrect = sum(predictedClasses==spanishMeta$Author)
sum(dbinom(ncorrect:15, 15, 1/3))