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Exact(18)
For each measure, we calculated the standard error of measurement (SEM) and the 95% confidence interval [ 34, 35].
Thus, it would be premature to conduct inferential statistics at this time and instead, for each measure, we calculated the mean, standard deviation, 95% confidence interval (CI), and then used Cohen's d effect sizes for repeated measures to determine the magnitude of the changes we observed (Leon et al. 2011).
As a second measure, we calculated the GC content at the synonymous base (GC3s%).
As an extra measure we calculated each subject's individual bias, as the overall fraction of intermittent presentation sequences won by that subject's more predominant percept.
From this measure we calculated the meandering, which is the result of the absolute turn angle divided by the total distance travelled.
As an additional measure, we calculated a risk priming by status index, RISKDIFFhigh, consisting of each individual monkey's mean proportion of choosing the risky option when primed with the high-status images minus the mean proportion of choosing the risky option when primed with the gray square.
Similar(41)
Additionally, to compare the proposed modified measure with the traditional Kakwani measure, we calculate them using the same time periods and present them in Figure 4.
As each choice of the reference vector (s, w) might generate a different measure, we calculate two measures using different reference vectors (0, w 0) and (1, w 1) which, in fact, are observed in each period and thus are equally reasonable.
Since each choice of the reference vector (t, r) might generate a different measure, we calculate two measures using different reference vectors (0, r 0) and (1, r 1) which, in fact, are observed in each period and thus are equally reasonable.
Since each choice of the reference vector (r, w) might generate a different measure, we calculate two measures using different reference vectors (r 0, w 0) and (r 1, w 1) which, in fact, are observed in each period and thus are equally reasonable.
To aggregate the results of the four protocols in one measure, we calculate the harmonic mean of the auPRC of the four protocols and report it as the PPP score in the last column of Table 2.
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