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The pattern is robust to adjustment for a large number of demographic, social and economic variables.
Such pattern is robust to alterations of the model parameters and simulated failures predict altered spatio-temporal patterns that mimic those described for several mutants.
Although this hypothesis should be revised when more data are available, the current information is quite large, so the general pattern is robust.
Moreover, a bootstrap analysis provides evidence that this pattern is robust, and the maximum parsimony tree is also shown to be statistically different from a tree constrained by stone raw materials.
The reproduction of this pattern in spite of minimal methodological similarity suggests that the pattern is robust and relatable to functional traits that interface with the exogenous environment (Bohlin et al. 2009).
Data from additional taxa are needed both to determine whether the pattern is robust and to elucidate its cause.
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The recovered motor pattern was robust but not identical to the pre-stress motor pattern (see e.g. Figure 1Ci and ii).
This observed pattern was robust to whether all species, or only the 21 common species, were considered (Fig. 1B, green and orange lines respectively), and was reproduced by our model (Fig. 1B, compare green and purple lines).
Correlograms revealed positive correlations (coefficients: 0.4 0.95) for pairs of countries close to one another (i.e., within 25° of one another; see also Fig. 1), with this pattern being robust to the number of bins considered (S. Vamosi, unpubl. data).
However, correlograms revealed positive correlations (coefficients: 0.4 0.95) overall for pairs of countries close to one another (i.e., within 25° of one another; see also Fig. 1), with this pattern being robust to the number of bins considered (S. Vamosi, unpubl. data).
We found that the simulated leaf pattern was robust to changes in boundary conditions.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com