plot.cv4abc: Cross-validation plots for ABC
In abc: Tools for Approximate Bayesian Computation (ABC)

plot.cv4abc

R Documentation

Cross-validation plots for ABC

Description

Plotting method for cross-validation ABC objects. Helps to visually evaluate the quality of the estimation and/or the effect of the tolerance level.

Usage

## S3 method for class 'cv4abc'
plot(x, exclude = NULL, log = NULL, file = NULL,
postscript = FALSE, onefile = TRUE, ask =
!is.null(deviceIsInteractive()), caption = NULL, ...)

Arguments

`x`	an object of class `"cv4abc"`.
`exclude`	a vector of row indices indicating which rows should be excluded from plotting. Useful when the prior distribution has a long tail.
`log`	character vector of the same length as the number of parameters in the `"cv4abc"` object. Allows plotting on a log scale. Possible values are "" (normal scale) and "xy" (log scale for both the x and y axis). "x" and "y" are possible as well, but not of any interest here. Negative values are set to `NA` and there is a warning.
`file`	a character string giving the name of the file. See `postscript` for details on accepted file names. If `NULL` (the default) plots are printed to the null device (e.g. `X11`). If not `NULL` plots are printed on a `pdf` device. See also `postscript`.
`postscript`	logical; if `FALSE` (default) plots are printed on a `pdf` device, if `TRUE` on a `postscript` device.
`onefile`	logical, if `TRUE` (the default) allow multiple figures in one file. If `FALSE`, generate a file name containing the page number for each page. See `postscript` for further details.
`ask`	logical; if `TRUE` (the default), the user is asked before each plot, see `par(ask=.)`.
`caption`	captions to appear above the plot(s); `character` vector of valid graphics annotations, see `as.graphicsAnnot`. By default, `parnames` from `x` are extracted (see `abc`). Can be set to `""` or `NA` to suppress all captions.
`...`	other parameters passed to `plot`.

Details

Different tolerance levels are plotted with heat.colors. Thus, the colors correspond to different levels of the tolerance rate in an increasing order from red to yellow.