Description Usage Arguments Value See Also Examples
Read results from a JSON file produced by the analysis tools in the 'JAMES' extensions module.
1 |
file |
string: path to a JSON file containing results produced by the analysis tools from the 'JAMES' extensions module. |
S3 object of class "james" containing the results of running a number of searches on a set of problems, where each search has been repeatedly applied for a number of runs. Data can be manipulated and extracted using the provided functions (see below).
Example data: james
.
Data access and manipulations methods: reduceJAMES
,
mergeJAMES
, getProblems
,
getSearches
, getSearchRuns
,
getNumSearchRuns
, getBestSolutionValues
,
getBestSolutions
, getConvergenceTimes
.
Plot functions: plotConvergence
, boxplot.james
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | # get path to raw JSON file included in package distribution
json.file <- system.file("extdata", "james.json", package = "james.analysis")
# read results from file
james <- readJAMES(json.file)
summary(james)
# plot convergence curves for coconut data set
plotConvergence(james, problem = "coconut", min.time = 1000, max.time = 100000)
# create box plots of solution values (quality) and convergence times
boxplot(james, problem = "coconut")
boxplot(james, problem = "coconut", type = "time")
# extract solution values and convergence times for parallel tempering and random descent
values.pt <- getBestSolutionValues(james, problem = "coconut", search = "Parallel Tempering")
times.pt <- getConvergenceTimes(james, problem = "coconut", search = "Parallel Tempering")
values.rd <- getBestSolutionValues(james, problem = "coconut", search = "Random Descent")
times.rd <- getConvergenceTimes(james, problem = "coconut", search = "Random Descent")
# perform wilcoxon test to compare distributions across algorithms
values.test <- wilcox.test(values.pt, values.rd)
values.test
times.test <- wilcox.test(times.pt, times.rd)
times.test
# adjust p-values for multiple testing
p.adjust(c(values.test$p.value, times.test$p.value))
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