Summarizing hot spot and outlier cutoffs
Description
summary
method for class "hotspots"
.
Usage
1 2 3 4 5 6 7 
Arguments
object 

x 

digits 
the number of significant digits to use when printing 
p_round 
the number of decimal places to print for percentages when printing 
top 
the number of the most disproportionate (highest or lowest) data values to print with their percent contributions to the total 
... 
further arguments passed to or from other methods 
Details
The importance of hot spots within the data is evaluated by reporting the number of hot spots, the percentage of values that are hot spots, and the percent of the sum of values attributable to hot spots. The percent of the sum of values is likely only relevant if the data are either all positive or all negative. A warning is given if they are not.
Value
A summary.hotspots object is a list containing all of the objects in a hotspots
object as well as the following:
num_phs 
number of positive hot spots or outliers in data 
percent_phs 
percent of values identified as positive hot spots or outliers 
percent_phs_sum 
percent of the sum of the values attributable to positive hot spots or outliers 
num_nhs 
number of negative hot spots or outliers in data 
percent_nhs 
percent of values identified as negative hot spots or outliers 
percent_nhs_sum 
percent of the sum of the values attributable to negative hot spots or outliers 
m 
A list of summary statistics pertaining to the data (mean, median, min, max, scale
(determined by the argument ' 
)
disprop 
vector of levels of disproportionality as calculated by 
Author(s)
Anthony DarrouzetNardi
See Also
hotspots
, plot.hotspots
, disprop
Examples
1 2 3 