mpa (version 0.7.3)

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

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.

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

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.

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)