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# #################################################
# Function for generating a frequency list of words or other (linguistic)
# features. It basically counts the elements of a vector and returns a vector
# of these elements in descending order of frequency.
# Refer to help(make.frequency.list) for farther details.
# #################################################
make.frequency.list = function(data,
value = FALSE,
head = NULL,
relative = TRUE) {
#####################################
# first, sanitize the input dataset
# test if the dataset belongs to 'stylo.corpus' class
if(inherits(data, "stylo.corpus") | is.list(data) == TRUE) {
# unlist, or make one long text out of the corpus samples
data = unlist(data, recursive = FALSE, use.names = FALSE)
# otherwise, test if the dataset is a vector
} else if(is.vector(data) == FALSE) {
# whet it is not, produce an error message and stop
stop("unable to make a list of frequencies")
}
# test if the dataset has at least two elements
if(length(data) < 3) {
stop("you try to measure frequencies of an empty vector!")
}
#####################################
#####################################
# the dataset sanitized, let counting the features begin!
frequent.features = sort(table(data), decreasing = TRUE)
#####################################
# if relative frequencies were requested, they are normalized
if(relative == TRUE) {
frequent.features = frequent.features / length(data) * 100
}
# additionally, one might limit the number of the most frequent features;
# this will return first n elements only (this is the argument 'head')
if(is.numeric(head) == TRUE) {
# sanitizing the indicated number
head = abs(round(head))
if(head == 0) {head = 1}
# cutting off the list
frequent.features = frequent.features[1:head]
}
# in most cases, one needs just a list of features, without frequencies
if(value == FALSE) {
frequent.features = names(frequent.features)
}
return(frequent.features)
}
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