Description Usage Arguments Value Examples

View source: R/multiBivariateCorrelation.R

Computation of a correlation dataframe.

1 2 3 4 5 6 7 | ```
multiBivariateCorrelation(
dataset,
targetVar = NULL,
corMethods = c("pearson", "spearman", "kendall", "mic", "MaxNMI"),
maxNbBins = 100,
showProgress = T
)
``` |

`dataset` |
the dataframe which variables bivariate correlations are to be analyzed. |

`targetVar` |
a vector of character strings corresponding to the names of the target variables. If not NULL, correlation coefficients are computed only with that target variables. |

`corMethods` |
a vector of correlation coefficients to compute. The available coefficients are the following : |

`maxNbBins` |
an integer used if corMethods include 'MaxNMI'. It corresponds to the number of bins limitation (for computation time limitation), maxNbBins=100 by default. |

`showProgress` |
a boolean to decide whether to show the progress bar. |

a specific dataframe containing correlations values or each specified correlation coefficient.

1 2 3 4 | ```
# run linkspotter on iris example data
data(iris)
corDF<-multiBivariateCorrelation(iris)
print(corDF)
``` |

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