This function can be used to plot bootnet results by plotting all bootstrapped statistics as line or by plotting confidence intervals.

1 2 3 4 5 6 7 8 9 | ```
## S3 method for class 'bootnet'
plot(x, statistics,
plot, CIstyle = c("default","SE","quantiles"),
rank = FALSE, sampleColor = "darkred", samplelwd = 1, bootColor = "black",
bootAlpha = 0.01, bootlwd = 0.9, areaAlpha = 0.1,
order = c("id", "sample", "mean"), decreasing = TRUE, perNode = FALSE,
legendNcol = 2, labels=TRUE, legend = TRUE,subsetRange = c(100,0),
area = !perNode, alpha = 0.05, onlyNonZero = FALSE, differenceShowValue,
differenceEdgeColor = TRUE, verbose = TRUE,...)
``` |

`x` |
A |

`statistics` |
The types of statistics to plot. |

`plot` |
Character string indicating what to plot. Can be |

`CIstyle` |
Style of CIs to construct. |

`rank` |
Logical, should plots show rank of statistics instead of statistics? |

`sampleColor` |
Color of the original sample line |

`samplelwd` |
Line width of the original sample line |

`bootColor` |
Color of the bootstrap lines |

`bootAlpha` |
Alpha of the bootstrap lines |

`bootlwd` |
Line width of the bootstrap lines |

`areaAlpha` |
Alpha of the area |

`order` |
String indicating how to order nodes. |

`decreasing` |
Logical indicating if the ordering is decreasing or increasing. |

`perNode` |
Logical, should centrality estimates per node be plotted instead of correlation with original parameter. Only used in node and person drop bootstrap. |

`legendNcol` |
Number of columns in the legend if |

`labels` |
Logical, should labels be plotted? |

`legend` |
Logical, should the legend be plotted? |

`subsetRange` |
Range in percentages of the x-axis in node and person drop plots. |

`area` |
Logical, should the confidence area be plotted? |

`alpha` |
Signifiance level used in |

`onlyNonZero` |
Logical used when |

`differenceShowValue` |
Logical used when |

`differenceEdgeColor` |
Logical used when |

`verbose` |
Should expected alpha be printed? |

`...` |
Not used. |

A `ggplot2`

object.

Sacha Epskamp <mail@sachaepskamp.com>

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