plot.lgcpQuantiles: plot.lgcpQuantiles function
In bentaylor1/lgcp: Log-Gaussian Cox Process

Description Usage Arguments Value See Also Examples

Plots lgcpQuantiles objects: output from quantiles.lgcpPredict

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## S3 method for class 'lgcpQuantiles'
plot(x, sel = 1:dim(x)[3], ask = TRUE,
  crop = TRUE, plotwin = FALSE, ...)

`x`	an object of class lgcpQuantiles
`sel`	vector of integers between 1 and grid$len: which grids to plot. Default NULL, in which case all grids are plotted.
`ask`	logical; if TRUE the user is asked before each plot
`crop`	whether or not to crop to bounding box of observation window
`plotwin`	logical whether to plot the window attr(x,"window"), default is FALSE
`...`	other arguments passed to image.plot

grid plotting This is a wrapper function for image.lgcpgrid

quantile.lgcpPredict

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## Not run: qtiles <- quantile(lg,qt=c(0.5,0.75,0.9),fun=exp)
                          # assumed that lg has class lgcpPredict
## Not run: plot(qtiles)

bentaylor1/lgcp documentation built on May 12, 2019, 2:09 p.m.