basicPlot | R Documentation |

Plots the graph using the base plot function. To map attributes on the graph use `plot1Att`

for 1 attribute or `plot2Att`

for 2 attributes.

```
basicPlot(
ginp,
graph_selection_input = 0,
curvedEdgeLines = TRUE,
arrowSizeMultiplier = 1,
scaledEdgeLines = FALSE,
scaledMin = NULL,
scaledMax = NULL
)
```

`ginp` |
The prepared graph object from prepareGraphs function |

`graph_selection_input` |
The type of graphical projection to be used. Default projection is 0 (Fruchterman Reingold). Selection must be a numeric option from 0-2. Other options include: 1 = Kamada Kawai, 2 = Reingold Tilford |

`curvedEdgeLines` |
Whether or not the edges between nodes should be curved or straight. Default is curved lines. |

`arrowSizeMultiplier` |
Adjusts the default arrow size based on a multiplier. Default value is 1. |

`scaledEdgeLines` |
Whether or not the edges of the graph should be scaled |

`scaledMin` |
If scaledEdgeLines = TRUE, then what the lightest weight should be scaled to |

`scaledMax` |
If scaledEdgeLines = TRUE, then what the heaviest weight should be scaled to |

Returns graphical plot to disk, if selected, or to R console

```
df <- sampleData1
prepNet <- tabulate_edges(df, silentNodes = 0)
baseNet <- prepareGraphs(prepNet, project_title = "Sample Data 1", weightedGraph = TRUE)
#Plot the graph
basicPlot(baseNet)
```

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