| doubleplotter {ShapePattern} | R Documentation |
A comparison of two maps based on their empirical (null) distributions for a class-focused pattern metric
Description
This function produces boxplots comparing the expected values (empirical, null distributions) for a given class-focused pattern metric between two maps.
Usage
doubleplotter(data1 = data$result1,
data2 = data$result2,
metric = 5)
Arguments
data1 |
This is the result object for the first map to be compared, where the output is returned by the function |
data2 |
This is the result object for the second map to be compared, where the output is returned by the function |
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. |
Details
No additional details at this time.
Value
The output is a double boxplot drawn on the graphics device.
Note
No additional notes at this time.
Author(s)
Tarmo K. Remmel
References
No references at this time.
See Also
See Also singlemap, singleplotter, and imaks.
Examples
# 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)