Description Usage Arguments Value Author(s) Examples

View source: R/bootgam.plots.R

This function creates a plot showing the correlations in estimates for covariate coefficients, obtained from the first step (univariate testing) in each scm performed in the bootscm.

1 2 3 |

`bootgam.obj` |
The object created using bootscm.import(), which hold the data for plotting. |

`sd.norm` |
Perform normalization of the covariate coefficients (default is TRUE). When TRUE, the estimated covariate coefficients will be multiplied by the standard deviation of the specific covariate (both for continuous and categorical covariates). |

`by.cov.type` |
Split the plot for continuous and dichotomous covariates. Default is FALSE. |

`cov.plot` |
A character vector which lists the covariates to include in the plot. If none are specified (NULL), all covariate coefficients will be included in the plot. |

`ask.covs` |
Ask the user which covariates to include in the plot. Default is FALSE. |

`dotpch` |
The character used for plotting. |

`col` |
The colors used for plotting. |

`...` |
Additional plotting arguments may be passed to this function. |

No value returned.

Ron Keizer

1 2 3 4 5 6 | ```
## Not run:
xp.boot.par.est.corr(current.bootscm, sd.norm = TRUE,
cov.plot = c("CLSEX", "VSEX", "CLWT"))
## End(Not run)
``` |

UUPharmacometrics/xpose4 documentation built on April 3, 2018, 12:05 p.m.

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.