logCoin | R Documentation |

`logCoin`

produces a network object from loglinear models parameters.

```
logCoin(data, variables=names(data), exogenous=NULL, noFirstCat= NULL,
weight=NULL, order= 2, pairwise=FALSE, twotails = FALSE,
pmax = 0.05, frequency = FALSE, percentage = FALSE,
directed=FALSE, igraph=FALSE, ...)
```

`data` |
a data frame. |

`variables` |
a vector of names of variables included in the previous data frame. |

`exogenous` |
a vector of names of variables whose relations amongst them are of no interest. None by default. |

`noFirstCat` |
a vector of names of dichotomous variables to appear without the category (no characteristic). |

`weight` |
a vector of weights. Optimal for dataframed tables. |

`order` |
maximum order parameters to be included in the loglinear model (default=2) |

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

`twotails` |
Application of twotail tests to the parameters (default: FALSE, i.e., onetail) |

`pmax` |
maximum value of the statistic to include the edge in the list. By default is 0.05, but 0.5 is recommended if data has not been sampled. |

`frequency` |
a logical value true if frequencies are to be shown. Default=FALSE. |

`percentage` |
a logical value true if percentages are to be shown. Default=TRUE. |

`directed` |
includes arrows to the links (target would be the categories of first mention variables). |

`igraph` |
Produces an igraph object instead of a netCoin object if TRUE. |

`...` |
Any netCoin argument. |

This function creates a netCoin object (or igraph) and, if stated, 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/

Escobar, M. and Martinez-Uribe, L. (2020)
Network Coincidence Analysis: The `netCoin`

`R`

Package.
*Journal of Statistical Software*, **93**, 1-32.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v093.i11")}.

```
# A n=1,000 sample from the European Social Survey.(Round 8, 2016)
data("ess")
logCoin(ess, c("Social participation", "Political participation"),
noFirstCat=c("Social participation", "Political participation"),
exogenous=c("Age", "Gender"), weight = "cweight",
order=3, pmax=.05,percentage = TRUE, frequency = TRUE ) # network object
```

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