inst/doc/linkspotterVignette.R

In linkspotter: Bivariate Correlations Calculation and Visualization

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#  library(devtools)
#  install_github("sambaala/linkspotter")

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#  library(devtools)
#  library(httr)
#  set_config(
#    use_proxy(url="<my_proxy>", port=<my_proxy_port>)
#  )
#  install_github("sambaala/linkspotter")

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library(linkspotter)

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#  help(package="linkspotter")

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maxNMI(iris$Sepal.Length,iris$Petal.Length)

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corCouples<-multiBivariateCorrelation(iris)
print(corCouples)

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corMatrixPearson<-corCouplesToMatrix(x1_x2_val = corCouples[,c('X1','X2',"pearson")])
print(corMatrixPearson)

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corMatrixMaxNMI<-corCouplesToMatrix(x1_x2_val = corCouples[,c('X1','X2',"MaxNMI")])
print(corMatrixMaxNMI)

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cl<-clusterVariables(corMatrix = corMatrixMaxNMI)
print(cl)

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linkspotterGraph(corDF = corCouples, variablesClustering = cl, 
  corMethod = "pearson", minCor = 0.25, smoothEdges = FALSE, 
  dynamicNodes = FALSE)

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linkspotterGraph(corDF = corCouples, variablesClustering = cl, 
  corMethod = "MaxNMI", minCor = 0.25, smoothEdges = F, 
  dynamicNodes = TRUE)

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#  linkspotterUI(dataset = iris, corDF = corCouples,
#    variablesClustering = cl, appTitle = "Linkspotter example")

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lsiris<-linkspotterComplete(iris)

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#  lsiris<-linkspotterOnFile("iris.csv")
#  summary(lsiris)

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summary(lsiris)

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#  lsiris$launchShiny()

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#  help(linkspotterComplete)