doubleplotter: A comparison of two maps based on their empirical (null)...
In PatternClass: Class-Focused Pattern Metric Comparisons using Simulation

Description Usage Arguments Details Value Note Author(s) References See Also Examples

This function produces boxplots comparing the expected values (empirical, null distributions) for a given class-focused pattern metric between two maps.

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doubleplotter(data1 = data$result1, 
  data2 = data$result2,  
  metric = 5)

`data1`	This is the result object for the first map to be compared, where the output is returned by the function `singlemap`.
`data2`	This is the result object for the second map to be compared, where the output is returned by the function `singlemap`.
`metric`	This is an integer (1-110) indicating which metric the comparison boxplots will be drawn for. A list of these metrics is given in the header of the function's source code.

No additional details at this time.

The output is a double boxplot drawn on the graphics device.

No additional notes at this time.

Tarmo K. Remmel

No references at this time.

See Also singlemap, singleplotter, and imaks.

# EXAMPLE USES PREVIOUSLY PRODUCED RESULTS TO SPEED-UP THE EXAMPLE,
# BUT THE EXAMPLE FROM singlemap() SHOULD BE CALLED FIRST, ONCE FOR EACH
# MAP TO BE COMPARED (FOR EXAMPLE)
#result1 <- singlemap(IMG = data$demoimage1, VERBOSE = TRUE, reps = 5, LEVEL=6) 
#result2 <- singlemap(IMG = data$demoimage2, VERBOSE = TRUE, reps = 5, LEVEL=6)
doubleplotter(data1 = data$result1, data2 = data$result2, metric = 5)