plot.TSVC | R Documentation |

Visualization of trees of effects of covariates that vary with the values of one or several effect modifiers.

## S3 method for class 'TSVC' plot( x, variable, cex.lines = 2, cex.branches = 1, cex.coefs = 1, cex.main = 1, title = NULL, ... )

`x` |
object of class |

`variable` |
name of the variable, for which the tree shall be plotted. |

`cex.lines` |
width of branches of the tree. |

`cex.branches` |
size of the labels of the tree. |

`cex.coefs` |
size of the coefficients in the terminal nodes of the tree. |

`cex.main` |
size of the title of the tree. |

`title` |
optional title, which is addded to the tree; if |

`...` |
further arguments passed to or from other methods. |

Moritz Berger <Moritz.Berger@imbie.uni-bonn.de>

https://www.imbie.uni-bonn.de/personen/dr-moritz-berger/

Berger, M., G. Tutz and M. Schmid (2019). Tree-Structured Modelling of Varying Coefficients. Statistics and Computing 29, 217-229, https://doi.org/10.1007/s11222-018-9804-8.

`TSVC`

, `predict.TSVC`

, `summary.TSVC`

# Swiss Labour Market library(AER) data("SwissLabor") # recode factors sl <- SwissLabor sl$participation <- as.numeric(sl$participation)-1 sl$foreign <- as.numeric(sl$foreign)-1 ## Not run: fit1 <- TSVC(participation~income+age, data=sl, family=binomial(link="logit"), nperm=1000, trace=TRUE) plot(fit1, "income") ## End(Not run)

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.