d_netCorr | R Documentation |

`netCorr`

produces a network object of dynamic correlations. Its input has to be at least one set of quantitative variables.

```
d_netCorr(variables, nodes = NULL, weight=NULL,
pairwise=FALSE, minimum=-Inf, maximum=Inf,
frequency=FALSE, means=TRUE,
method=c("pearson", "kendall", "spearman"), criteria="value", Bonferroni=FALSE,
minL=0, maxL=Inf,
sortL=NULL, decreasingL=TRUE,
factorial=c("null", "pc", "nf", "vf", "of"),
components=TRUE, backcomponents=FALSE,
sequence=seq(.20, 1, .01), textFilter=c(1, .99), speed=50,
dir=NULL, ...)
```

`variables` |
a data frame with at least two quantitative variables. |

`nodes` |
a data frame with at least one vector of names and other information from the nodes |

`weight` |
a vector of weights. Optimal for data.framed tables |

`pairwise` |
Pairwise mode of handling missing values if TRUE. Listwise by default. |

`minimum` |
minimum mean to be considered |

`maximum` |
maximum mean to be considered |

`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. |

`factorial` |
factorial layout: Principal components (pc), factorial (nf), factorial with varimax rotation (vf), and factorial with oblimin rotation (of) are possible |

`components` |
display following graph in sequence only when the components are unequal |

`backcomponents` |
display following graph in sequence even if there are less components |

`sequence` |
evolution of the dinamic graphs. c(first threshold, last threshold, step) |

`textFilter` |
limits for showing the correlations as text on the graph. This limit is the minimun value of the first (absolute), and the second (threshold plus its value) |

`speed` |
speed of the dynamic evolution from 0 to 100 |

`dir` |
a "character" string representing the directory where the web files will be saved. |

`...` |
any netCoin argument. |

The function creates a list object to create a multigraph and eventually a folder in the computer with an HTML document named index.html which contains the produced dynamic graphs. 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)
d_netCorr(iris[,1:4],ltext="value", sequence=seq(.80, 1, .05), zoom=3, textFilter=.85,
main="Correlations between measurements of Iris Species", components=FALSE,
note="Anderson, Edgar (1935) y Fisher, R. A. (1936)") # network object
```

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