d_netCorr: Dynamic networked correlations.

In netCoin: Interactive Analytic Networks

Dynamic networked correlations.

Description

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

Usage

d_netCorr(variables, nodes = NULL, weight=NULL, 
        pairwise=FALSE, minimum=-Inf, maximum=Inf,
        frequency=FALSE, means=TRUE, 
        method=c("pearson", "kendall", "spearman"), criteria="value", Bonferroni=FALSE,
        minL=0, maxL=Inf,
        sortL=NULL, decreasingL=TRUE,
        factorial=c("null", "pc", "nf", "vf", "of"),
        components=TRUE, backcomponents=FALSE,
        sequence=seq(.20, 1, .01), textFilter=c(1, .99), speed=50,
        dir=NULL, ...)

Arguments

variables	a data frame with at least two quantitative variables.
nodes	a data frame with at least one vector of names and other information from the nodes
weight	a vector of weights. Optimal for data.framed tables
pairwise	Pairwise mode of handling missing values if TRUE. Listwise by default.
minimum	minimum mean to be considered
maximum	maximum mean to be considered
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.
factorial	factorial layout: Principal components (pc), factorial (nf), factorial with varimax rotation (vf), and factorial with oblimin rotation (of) are possible
components	display following graph in sequence only when the components are unequal
backcomponents	display following graph in sequence even if there are less components
sequence	evolution of the dinamic graphs. c(first threshold, last threshold, step)
textFilter	limits for showing the correlations as text on the graph. This limit is the minimun value of the first (absolute), and the second (threshold plus its value)
speed	speed of the dynamic evolution from 0 to 100
dir	a "character" string representing the directory where the web files will be saved.
...	any netCoin argument.

Value

The function creates a list object to create a multigraph and eventually a folder in the computer with an HTML document named index.html which contains the produced dynamic graphs. This file can be directly opened with your browser and sent to a web server to work properly.

Author(s)

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

Examples

# A character column (with separator)
data(iris)
d_netCorr(iris[,1:4],ltext="value", sequence=seq(.80, 1, .05), zoom=3, textFilter=.85,
 main="Correlations between measurements of Iris Species", components=FALSE,
 note="Anderson, Edgar (1935) y Fisher, R. A. (1936)") # network object

netCoin documentation built on Oct. 18, 2024, 5:10 p.m.