testP-internal

aa_graphATestsForSampleSize

atest

normaliseATest

pcor.mat

pcor.rec

pcor.test

lhc_constructCoEffDataSet

efast_cvmethod

efast_graph_Results

efast_parameterdist

efast_sd

efast_setfreq

efast_ttest

table_header_check

num.decimals

perform_aTest_for_all_sim_measures

prepare_parameter_value_list

subset_results_by_param_value_set

<p>A number of internal functions (14) are used which are not directly called by the user employing this package.  These are: (a) aa_getATestResults (b) aa_graphATestsForSampleSize (c) atest (d) normaliseATest (e) pcor.mat (f) pcor.rec (g) pcor.test (h) lhc_constructCoEffDataSet (i) efast_cvmethod (j) efast_graph_Results (k) efast_parameterdist (l) efast_sd (m) efast_setfreq (n) efast_ttest (o) table_header_check (p) num_decimals</p>

Techniques 1-4: Internal Functions

Computer simulations are becoming a popular technique to use in attempts to further our understanding of complex systems. SPARTAN, described in our 2013 publication in PLoS Computational Biology, provides code for four techniques described in available literature which aid the analysis of simulation results, at both single and multiple timepoints in the simulation run. The first technique addresses aleatory uncertainty in the system caused through inherent stochasticity, and determines the number of replicate runs necessary to generate a representative result. The second examines how robust a simulation is to parameter perturbation, through the use of a one-at-a-time parameter analysis technique. Thirdly, a latin hypercube based sensitivity analysis technique is included which can elucidate non-linear effects between parameters and indicate implications of epistemic uncertainty with reference to the system being modelled. Finally, a further sensitivity analysis technique, the extended Fourier Amplitude Sampling Test (eFAST) has been included to partition the variance in simulation results between input parameters, to determine the parameters which have a significant effect on simulation behaviour. Version 1.3 adds support for Netlogo simulations, aiding simulation developers who use Netlogo to build their simulations perform the same analyses. We have also added user support through the group spartan-group[AT]york[DOT]ac[DOT]uk. Version 2.0 added the ability to read all simulations in from a single CSV file in addition to the prescribed folder structure in previous versions.

Techniques 1-4: Internal Functions: Internal Functions

Description

Arguments