Produces a file summarising the analysis; partitioning the variance between parameters and providing relevant statistics. These include, for each parameter of interest, first-order sensitivity index (Si), total-order sensitivity index (STi), complementary parameters sensitivity index (SCi), and relevant p-values and error bar data calculated using a two-sample t-test and standard error respectively. For a more detailed examination of this analysis, see the references in the R Journal paper. For ease of representation, the method also produces a graph showing this data for each simulation output measure. In this case, this function works with spartanDB to analyse data stored in a database
1 2 3 | efast_run_Analysis_from_DB(efast_sim_results, number_samples, parameters,
number_curves, measures, OUTPUTMEASURES_TO_TTEST = 1:length(measures),
TTEST_CONF_INT = 0.95)
|
efast_sim_results |
Set of simulation results mined from the database, put into the format required by spartan |
number_samples |
Number of samples taken per parameter |
parameters |
Array containing the names of the parameters of which parameter samples have been generated |
number_curves |
The number of 'resamples' to perform (see eFAST documentation) - recommend using at least 3 |
measures |
Array containing the names of the output measures which are used to analyse the simulation |
OUTPUTMEASURES_TO_TTEST |
Which measures in the range should be tested to see if the result is statistically significant. To do all, and if there were 3 measures, this would be set to 1:3 |
TTEST_CONF_INT |
The level of significance to use for the T-Test (e.g. 0.95) |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.