Interpretive caution is warranted by the retrospective and cross-sectional design used to generate these results.
Five thousand channel realizations were used to generate these results.
To generate these results, we changed each parameter one at a time and did Monte Carlo simulations to calculate the contribution of each variation on the overall error rate.
(a) concept charts (individual concept detection m (b) reasoning model type chart, and (c) bubble chart Videos of how to generate these results are provided in written form in the Additional file 1 and video instructions may be found at www.evograder.org.org
However, to generate these results, it is necessary to replicate two problems identified in R&C's implementation: the reservations bug, rectified in Experiment 2 (Section 'Experiment 2: the reservations bug'); and the payment bug, rectified in Experiment 3 (Section 'Experiment 3: the payment bug').
The model succeeds in generating these results, however, only if no-growth is phased in over several decades, not imposed immediately.
To generate these results, for each pair of diving/non-diving sharks, we have taken the total vector displacement of the diving shark minus the displacement of the non-diving shark, divided by the elapsed time and multiplied by 200 days.
The input data as well as the commands for generating these results are available in the Supplementary material.
Although this was a subgroup analysis, and hence hypothesis generating, these results suggest that urine culture results largely predict the (individual) benefit of antibiotics, though a considerable proportion of those with a positive results did not need antibiotics anyway.
In this figure, the performance measure is the average rank of the true candidate protein among other 99 proteins in the same linkage interval (please see the Methods section for a description of the experimental set-up used to generate these results).
