Analysis of the response curves of a model within Biomod
Depreciated function, please use
response.plot2 instead
response.plot( model, Data, show.variables = seq(1:ncol(Data)), save.file = "no", name = "response_curve", ImageSize = 480, plot = TRUE )
model |
the model for which you want the response curves to be plotted. Compatible with GAM, GBM, GLM, ANN, CTA, RF, FDA and MARS. |
Data |
the variables for which you want the response curves to be plotted. A data frame is wanted with one column per variable. They have to have the same names as the ones used to calibrate the model. |
show.variables |
give in the column numbers of 'Data' for selecting the variables that are wanted for plotting |
save.file |
can be set to "pdf", "jpeg" or "tiff" to save the plot. Pdf options can be changed by setting the default values of pdf.options(). |
name |
the name of the file produced if save.file is different to "no" (extensions are already included) |
ImageSize |
the size of the image in pixels if save.file is different to "no". Affects "jpeg" and "tiff" outputs only. Default if 480 pixels which is the R default. |
plot |
if TRUE (the default) then a plot is produced. If not, an array containing predictions is returned (see details) |
Depreciated function, please use response.plot2
instead.
Wilfried Thuiller
Elith, J., Ferrier, S., Huettmann, FALSE. & Leathwick, J. R. 2005 The evaluation strip: A new and robust method for plotting predicted responses from species distribution models. Ecological Modelling 186, 280-289.
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