linkspotterGraphOnMatrix: Linkspotter graph on matrix

In linkspotter: Bivariate Correlations Calculation and Visualization

Description

Plot the Linkspotter graph from a correlation matrix.

Usage

linkspotterGraphOnMatrix(
  corMatrix,
  cluster = FALSE,
  variablesClustering = NULL,
  minCor = 0.3,
  corMethod = "Coef.",
  smoothEdges = T,
  dynamicNodes = F,
  colorEdgesByCorDirection = F
)

Arguments

corMatrix	a dataframe corresponding to a matrix of correlation or distance.
cluster	a boolean to decide if to cluster variables or an integer corresponding directly to the number of clusters to consider. If variablesClustering is filled, "cluster" parameter is ignored.
variablesClustering	a specific dataframe containing the output of the variable clustering resulting from the function clusterVariables()
minCor	a double between 0 and 1. It is the minimal correlation absolute value to consider for the first graph plot.
corMethod	a string. One of "pearson","spearman","kendall","mic", "distCor" or "MaxNMI". It is the correlation coefficient to consider for the first graph plot.
smoothEdges	a boolean. TRUE to let the edges be smooth.
dynamicNodes	a boolean. TRUE to let the graph re-organize itself after any movement.
colorEdgesByCorDirection	a boolean. TRUE to get the edges colored according to the correlation direction (positive-> blue, negative->red or NA->grey).

Value

a visNetwork object corresponding to a dynamic graph for the correlation matrix visualization.

Examples

# calculate a correlation dataframe
data(iris)
corDF=multiBivariateCorrelation(dataset = iris)
corMatrix=corCouplesToMatrix(x1_x2_val = corDF[,c('X1','X2',"pearson")])
# launch the graph
linkspotterGraphOnMatrix(corMatrix=corMatrix, minCor=0.3)

linkspotter documentation built on July 23, 2020, 5:08 p.m.