# Plotting Generalized Dissimilarity Models

### Description

Gdm.plotfromtable is used to plot a generalized dissimilarity model, specified by giving a gdm model object created with the function gdm.fitfromtable.

### Usage

1 2 | ```
gdm.plotfromtable(model, plot.layout = c(2,2),
plot.color = rgb(0.0,0.0,1.0), plot.linewidth = 2.0)
``` |

### Arguments

`model` |
A gdm model object returned from gdm.fitfromtable |

`plot.layout` |
This sets the row and column layout for the predictor plots. Default is 2 rows by 2 columns. To produce one predictor plot per page set plot.layout to c(1,1). The overall model plots are always produced on a single page each i.e. a single page plot of the raw prediction against the observed response data and a single page plot of the predicted data after applying the link function of 1.0 - exp(-y). This layout parameter only affects the layout of the respective plot for those predictors that had featured in the model fitting process. |

`plot.color` |
An RGB vector describing the color of the data points that are plotted for the overall plots. The default is blue (rgb(0.0,0.0,1.0). |

`plot.linewidth` |
A value describing the desired linewidth for the regression over-plotted in the two overall plots to optimise the display of the regression line over the data points. |

### Value

gdm.plotfromtable returns NULL. use gdm.summaryfromtable to obtain or print a summary of the model object.

### Examples

1 2 | ```
## Not run: gdm.plotfromtable(test.mod)
## Not run: gdm.plotfromtable(test.mod,plot.layout=c(3,3))
``` |