Description Usage Arguments Details Value Note Author(s) References Examples
Calculates the co-occurrences matrix and the matrix associations from the resulting object of the leer.mpa function.
1 | matriz.mpa(leer.mpa, sep.ind="ind0", sep.pal="/", fmin=3, cmin=3)
|
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. |
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.
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 |
This function uses created steps inside the ttda.segmentation y ttda.forms.frame functions, of the ttda library.
Daniel Rodr\'iguez dhrodriguezt@unal.edu.co
Courtial, J.P. (1990), Introduction a la Scientom\'etrie, Anthropos - Econ\'omica, Paris.
1 2 3 4 5 | data(revista)
mat <- matriz.mpa(revista, fmin=3, cmin=1)
mat$Matriza
mat$Matrizc
diag(mat$Matrizc)
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