Description Usage Arguments Value Author(s) References See Also Examples

A function used to visualize how two variables interact to affect the response in regression models.

1 2 |

`fit` |
The fitted model object you wish to visualize. Any object with 'predict' and 'model.frame' methods are supported, including lm, glm, gam, rlm, coxph, and many more. |

`xvar` |
Character string specifying the variable to be put on the x-axis of your plot. Both continuous variables and factors are supported. |

`yvar` |
Character string specifying the variable to be put on the y-axis of your plot. Both continuous variables and factors are supported. |

`type` |
The type of plot to be produced. The following options are supported: If 'conditional' is selected, the plot returned shows the value of the variable on the x-axis and the change in response on the y-axis, holding all other variables constant (by default, median for numeric variables and most common category for factors). If 'contrast' is selected, the plot returned shows the effect on the expected value of the response by moving the x variable away from a reference point on the x-axis (for numeric variables, this is taken to be the mean).
For more details, see references. |

`trans` |
(Optional) A function specifying a transformation for the vertical axis. |

`scale` |
By default, the model is plotted on the scale of the linear
predictor. If |

`nn` |
Resolution of the three dimensional plot. Higher values will results in a smoother looking plot. |

`cond` |
Named list specifying conditional values of other explanatory
variables. By default, conditional plots in visreg are constructed
by filling in other explanatory variables with the median (for
numeric variables) or most common category (for factors), but this
can be overridden by specifying their values using |

`plot` |
Send the calculations to |

`...` |
Graphical parameters (e.g., |

A `visreg2d`

object consisting of:

`x` |
Values of |

`y` |
Values of |

`z` |
Values of outcome to be plotted |

`meta` |
Meta-information needed to construct plots, such as the name of the x and y variables. |

Patrick Breheny and Woodrow Burchett

Breheny, P. and Burchett, W. (2017), Visualizing regression models using visreg. https://journal.r-project.org/archive/2017/RJ-2017-046/index.html

http://pbreheny.github.io/visreg/surface.html
`visreg`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ```
fit <- lm(Ozone ~ Solar.R + Wind + Temp + I(Wind^2) + I(Temp^2) +
I(Wind*Temp)+I(Wind*Temp^2) + I(Temp*Wind^2) + I(Temp^2*Wind^2),
data=airquality)
visreg2d(fit, x="Wind", y="Temp", plot.type="image")
visreg2d(fit, x="Wind", y="Temp", plot.type="persp")
## Requires the rgl package
## Not run:
visreg2d(fit, x="Wind", y="Temp", plot.type="rgl")
## End(Not run)
## Requires the ggplot2 package
## Not run:
visreg2d(fit, x="Wind", y="Temp", plot.type="gg")
## End(Not run)
``` |

pbreheny/visreg documentation built on July 22, 2018, 11:06 a.m.

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