This takes each sample size to be examined in turn, and iterates through all the subsets, determining the median and maximum A-Test score observed for each sample size. A CSV file is created summarising the median and maximum A-Test scores for all sample sizes, named as stated in parameter SUMMARYFILENAME. If doing this analysis over multiple timepoints, the timepoint will be appended to the filename given in SUMMARYFILENAME.
aa_sampleSizeSummary(FILEPATH, SAMPLESIZES, MEASURES, SUMMARYFILENAME,
ATESTRESULTS_FILE = NULL, ATESTRESULTS_OBJECT = NULL,
TIMEPOINTS = NULL, TIMEPOINTSCALE = NULL, check_done = FALSE)Directory where the results of the simulation runs, in folders or in single CSV file format, can be found
The sample sizes chosen (i.e. in our case, this would be an array containing 1,5,50,100,300,800
An array containing the names of the simulation output measures to be analysed.
Name of the file generated that lists the maximum and median A-Test results for each sample size.
The name of a CSV file containing the A-Test results calculated by aa_getATestResults, if reading from a CSV file.
The name of an R object containing the A-Test results calculated by aa_getATestResults, if not reading from a CSV file
Implemented so this method can be used when analysing multiple simulation timepoints. If only analysing one timepoint, this should be set to NULL. If not, this should be an array of timepoints, e.g. c(12,36,48,60)
Implemented so this method can be used when analysing multiple simulation timepoints. Sets the scale of the timepoints being analysed, e.g. "Hours"
If multiple timepoints, whether the input has been checked