Subboundary statistics measure boundary contiguity. You can evaluate whether the subboundary is statistically unusual through comparison with Monte Carlo randomizations of the boundary. Subboundary output consists of histograms for each subboundary statistic and a summary table.
The table displays the observed value for each of the seven statistics, the standardized value, if you chose to standardize the output, and the mean and standard deviation of the distribution. Following all this is and the upper and lower p-values. See Interpreting subboundary statistics for more details. Below the statistics is a list of the values in each of the randomizations.
Subboundary analysis creates a set of histograms and a table of subboundary statistics. You can choose not to view the histograms when you perform the analysis (clear the "show histograms after analysis" box). If you accept the default output, you will see a histogram for Ns, N1, Lmean, Lmax, Dmean, and Dmax. The histograms show the values for these statistics from Monte Carlo randomizations of the boundaries. The observed values are shown as a red bar on the histogram. Viewing the histograms allows you to visually assess how unusual the observed values are compared to the randomizations.
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