netCorr: Networked correlations.
In netCoin: Interactive Analytic Networks

Description Usage Arguments Value Author(s) Examples

netCorr produces a network object of correlations. Its input has to be at least one set of quantitative variables.

netCorr(variables, weight=NULL, pairwise=FALSE,
        minimum=-Inf, maximum=Inf, sort=FALSE, decreasing=TRUE,
        frequency=FALSE, means=TRUE, 
        method="pearson", criteria="p", Bonferroni=FALSE,
        minL=0, maxL=Inf,
        sortL=NULL, decreasingL=TRUE,
        igraph=FALSE, ...)

`variables`	a data frame with at least two quantitative variables.
`weight`	a vector of weights. Optimal for data.framed tables
`pairwise`	Pairwise mode of handling missing values if TRUE. Listwise by default.
`minimum`	minimum frequency to be considered
`maximum`	maximum frequency to be considered
`sort`	sort the correlation matrix according to the frequency of the events
`decreasing`	decreasing or increasing sort of the matrix
`frequency`	a logical value true if frequencies are to be shown. Default=FALSE.
`means`	a logical value true if means are to be shown. Default=TRUE.
`method`	a vector of statistics of similarity. Pearson correlation by default. spearman and kendall are also possible
`criteria`	statistic to be use for selection criteria.
`Bonferroni`	Bonferroni criterium of the signification test.
`minL`	minimum value of the statistic to include the edge in the list.
`maxL`	maximum value of the statistic to include the edge in the list.
`sortL`	sort the list according to the values of a statistic. See below
`decreasingL`	order in a decreasing way.
`igraph`	Produces an igraph object instead of a netCoin object if TRUE
`...`	Any netCoin argument.

The function creates a netCoin object and eventually 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.

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

# A character column (with separator)
data(iris)
netCorr(iris[,1:4],ltext="value",
 main="Correlations between measurements of Iris Species",
 note="Anderson, Edgar (1935) y Fisher, R. A. (1936)") # network object

Title: Correlations between measurements of Iris Species 

Nodes:
                     name mean  std min max
Sepal.Length Sepal.Length 5.84 0.83 4.3 7.9
Sepal.Width   Sepal.Width 3.06 0.44 2.0 4.4
Petal.Length Petal.Length 3.76 1.77 1.0 6.9
Petal.Width   Petal.Width 1.20 0.76 0.1 2.5

Links:
         source       target     value        z p
3  Sepal.Length Petal.Length 0.8717538 10.67676 0
4  Sepal.Length  Petal.Width 0.8179411 10.01769 0
12 Petal.Length  Petal.Width 0.9628654 11.79264 0

Anderson, Edgar (1935) y Fisher, R. A. (1936)