netCorr | R Documentation |
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=c("pearson", "kendall", "spearman"),
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
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