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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