The test simulates a CRW with given parameters and reconstructs it by using the eRTG3D
test.eRTG.3d(
parallel = FALSE,
returnResult = FALSE,
plot2d = FALSE,
plot3d = TRUE,
plotDensities = TRUE
)Arguments
- parallel
logical: test running parallel?
- returnResult
logical: return tracks generated?
- plot2d
logical: plot tracks on 2-D plane?
- plot3d
logical: plot tracks in 3-D?
- plotDensities
logical: plot densities of turning angle, lift angle and step length?
Value
A list containing the original CRW and the simulated track (CERW).
Examples
# \donttest{
test.eRTG.3d()
#> |*** Testing eRTG3D ***
#> |TLD cube dimensions: 5 x 4 x 2
#> |Simulate UERW with 37500 steps
#>
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#> |Elapsed time: 2.4s
#> |*** Two-sample Kolmogorov-Smirnov test ***
#> |H0: Probability distributions do not differ significantly
#> |H1: Probability distributions differ significantly
#> |Turn angle - p-value: 0.999 > 0.05, *H0*, autodifferences - p-value: 0.828 > 0.05, *H0*
#> |Lift angle - p-value: 0.779 > 0.05, *H0*, autodifferences - p-value: 0.99 > 0.05, *H0*
#> |Step length - p-value: 0.001 < 0.05, *H1*, autodifferences - p-value: 0.017 < 0.05, *H1*
#> |Extracting Q probabilities for 25 steps
#>
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#> |Elapsed time: 1.3s
#> |Simulate CERW with 25 steps
#>
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#> |Elapsed time: 1.8s
#> |*** Two-sample Kolmogorov-Smirnov test ***
#> |H0: Probability distributions do not differ significantly
#> |H1: Probability distributions differ significantly
#> |Turn angle - p-value: 0.902 > 0.05, *H0*, autodifferences - p-value: 0.888 > 0.05, *H0*
#> |Lift angle - p-value: 0.14 > 0.05, *H0*, autodifferences - p-value: 0.888 > 0.05, *H0*
#> |Step length - p-value: 0.012 < 0.05, *H1*, autodifferences - p-value: 0.124 > 0.05, *H0*
#> |*** Test passed successfully ***
# }