matriz.mpa: Calculation of co-occurrences matrix and matrix associations

In mpa: CoWords Method

Description

Calculates the co-occurrences matrix and the matrix associations from the resulting object of the leer.mpa function.

Usage

matriz.mpa(leer.mpa, sep.ind="ind0", sep.pal="/", fmin=3, cmin=3)

Arguments

leer.mpa	Resulting vector from the leer.mpa function.
sep.ind	Individuals separator by default is "ind0".
sep.pal	Word separator by default is "/"
fmin	Minimal appearance frequency of key words inside the corpus.
cmin	Minimal co-occurrence between words.

Details

Individuals separator sep.ind must be the same for all individuals in the corpus, just like the sep.pal. The function eliminates key words with lower frequency than fmin and eliminates co-occurrences under cmin.

Value

A list that contains:

Matriza	Associations matrix.
Matrizc	Co-occurrence matrix.
Palabras	Vector from the different words that appears in the corpus (dictionary).
tl	Lexical table

Note

This function uses created steps inside the ttda.segmentation y ttda.forms.frame functions, of the ttda library.

Author(s)

Daniel Rodr\'iguez [e-mail]

References

Courtial, J.P. (1990), Introduction a la Scientom\'etrie, Anthropos - Econ\'omica, Paris.

Examples

data(revista)
mat <- matriz.mpa(revista, fmin=3, cmin=1)
mat$Matriza
mat$Matrizc
diag(mat$Matrizc)

mpa documentation built on May 2, 2019, 9:20 a.m.