plotem: Utility function used by plotting functions.

In CARrampsOcl: Reparameterized and marginalized posterior sampling for conditional autoregressive models, OpenCL implementation

Description

Utility function used by plotting function.

Usage

plotem(range1, range2, objname, range3, nrow, numcols, col, rev.inds, breaks, title, sub)

Arguments

range1	indices for first plotting dimension
range2	indices for second plotting dimension
objname	name of output object from CARrampsOcl.fit to be plotted
range3	which coordinate to plot at
nrow	number of rows in matrix format for "image"
numcols	Number of shades from color palette.
col	Color palette.
rev.inds	Reverse indices on either axis?
breaks	Cut points for quantitative variable determining color shades.
title	Titles for each of the two plots
sub	Subtitle

Value

Produces an image plot

Note

Uses image.plot from the fields package.

Author(s)

Kate Cowles

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
## Not run: 
function (range1, range2, objname, range3, nrow, numcols, col, 
    rev.inds, breaks, title, sub) 
{
    inds1 <- range1
    inds2 <- range2
    if (rev.inds[1]) 
        inds1 <- rev(inds1)
    if (rev.inds[2]) 
        inds2 <- rev(inds2)
    image.plot(range1, range2, matrix(objname$y[range3], nrow = nrow)[inds1, 
        inds2], col = col, breaks = breaks, xlab = "", ylab = "", 
        main = title[1], sub = sub)
    image.plot(range1, range2, matrix(objname$phi$phimean[range3], 
        nrow = nrow)[inds1, inds2], col = col, xlab = "", ylab = "", 
        breaks = breaks, main = title[2], sub = sub)
  }

## End(Not run)

CARrampsOcl documentation built on May 2, 2019, 3:27 a.m.