glmCoin | R Documentation |

produces a netCoin object from a set of glm regressions.

```
glmCoin(formulas, data, weights=NULL, pmax=.05,
twotail=FALSE, showArrows=TRUE,
frequency = FALSE, percentage = TRUE,
color="variable", lwidth="z.value",
circle= NA, language=c("en","es","ca"),
igraph=FALSE, ...)
```

`formulas` |
A set of formulas separated, folowed by the family and a return. For example: model <- "counts ~ outcome + treatment, poisson counts ~ outcome, poisson" |

`data` |
Data frame containing the variables in the model. |

`weights` |
Optional vector of weights to be used in the fitting process. |

`pmax` |
Selection of links with Pr(>|z|) less than p (one-tail by default). |

`twotail` |
Logical value indicating if twotail test must be appied. Defaul=FALSE. |

`showArrows` |
a logical value true if the directional arrows are to be shown. Default = FALSE. |

`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. |

`color` |
Nodes' attribute to be used for expressing color ("variable" by default). |

`lwidth` |
Nodes' attribute to be used for widht of arrows ("z.value" by default). |

`circle` |
Degre of rotation in case of fixed circled dependent variables. |

`language` |
Language of the graph controls. |

`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/

```
## Dobson (1990) Page 93: Randomized Controlled Trial :
counts <- c(18,17,15,20,10,20,25,13,12)
outcome <- gl(3,1,9)
treatment <- gl(3,3)
Dobson <- data.frame(counts=counts, outcome=outcome, treatment=treatment)
model <- "counts ~ outcome + treatment, poisson"
glmCoin(model,Dobson)
```

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