Networked coincidences from a data frame.

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

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

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.

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.

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. doi: 10.18637/jss.v093.i11 .

Author

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

Examples

# 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

#> 
#> Nodes(6):
#>  Gender Opinion Grupos(2) name
#>     Man     Yes  Grupo: 2    1
#>     Man     Yes  Grupo: 2    2
#>     Man      No  Grupo: 2    3
#>   Woman      No  Grupo: 1    4
#>   Woman      No  Grupo: 1    5
#>   Woman     Yes  Grupo: 1    6
#>