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To predict and establish the safe hot workability window, processing maps were evaluated based on the dynamic material model and plotted for strain of 0.65.
We inferred phylogenies for each sample with PHYML (version 2.4.4, [43]) using the F81 DNA substitution model, and plotted the resulting trees with the APE package (version 2.4, [44]) in R (version 2.10.0, [45], http://www.r-project.org).org
The delta between predicted and measured value is calculated for both model and plotted against each other.
The fraction of fast-moving particles was obtained from fitting FCS curves with a two-particle 2-D diffusion model, and plotted against time.
For each SCOP family in the training set, we trained an ordinary HMM model and plotted the ROC curve and calculated the AUC for this task.
For Figure 3A/B, we used this model and plotted CPD for action value difference, LFP-derived PC2 and chosen action in two single-neuron examples.
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A general-purpose numerical solver is used for solving the model and plotting the pertinent results.
The proportional hazards assumptions will be assessed adding the covariate by log-time interactions to the model and plotting the scaled and smoothed Schoenfeld residuals obtained from main effects model was possible [ 40].
After doing so, we numerically solved the equations corresponding to both models and plotted the results in Figures 2A and 2B.
To see the differences between A3 and M6, we simulated the two models and plotted the resulting conformations (Fig. 4).
We summed across the 12 characteristics analyzed in the regression models and plotted adoption of SOPs against this index.
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