surScat: Networked coincidences from a data frame.

Description

surScat produces a network object of coincidences from a data frame converting variables into dichotomies.

Usage

surScat(data, variables=names(data), active=variables, type=c("mca", "pca"), nclusters=2,
        maxN=2000, ...)

Value

This function creates a netCoin object (or igraph) and, if stated, a folder in the computer with an HTML document named index.html which contains the produced graph. This file can be directly opened with your browser and sent to a web server to work properly.

Arguments

data: a data frame.
variables: a vector of variables included in the previous data frame.
active: a vector of variables actived in the previous data frame.
type: Factorial type: mca for qualitative active variables, pca for quantitative active variables.
nclusters: number of clusters.
maxN: Maximum number or rows.
...: Any netCoin argument.

Author

Modesto Escobar, Department of Sociology and Communication, University of Salamanca. See https://sociocav.usal.es/blog/modesto-escobar/

Details

Possible measures in procedures are

Frequencies (f), Relative frequencies (x), Conditional frequencies (i), Coincidence degree (cc), Probable degree (cp),
Expected (e), Confidence interval (con)
Matching (m), Rogers & Tanimoto (t), Gower (g), Sneath (s), Anderberg (and),
Jaccard (j), Dice (d), antiDice (a), Ochiai (o), Kulczynski (k),
Hamann (ham), Yule (y), Pearson (p), odds ratio (od), Rusell (r),
Haberman (h), Z value of Haberman (z),
Hypergeometric p greater value (hyp).
Convert a matrix into an edge list (shape).

References

Escobar, M. and Martinez-Uribe, L. (2020) Network Coincidence Analysis: The netCoin R Package. Journal of Statistical Software, 93, 1-32. tools:::Rd_expr_doi("10.18637/jss.v093.i11").

Examples

Run this code

# A data frame with two variables Gender and Opinion
frame<-data.frame(Gender=c(rep("Man",3),rep("Woman",3)),
                  Opinion=c("Yes","Yes","No","No","No","Yes"))
surScat(frame) # network object

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