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e) % Errors is calculated as the number of confirmed laboratory errors divided by the total number of proteins identified.
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The percentages of errors were calculated, as well as the mean, median, and standard deviation of HR before and after both error correction methods.
The mean square errors are calculated as follows: (16).
Robust standard errors are calculated as described by Calonico et al. (2014).
The errors are calculated as the average of the differences between measured density data and the predicted.
The residual errors are calculated as the differences between the estimated latitude values of the restored trajectory functions and the real latitude values of the GPS data.
The modified errors are calculated as in (8), but in this case is replaced by the average amplitude of the 12 partials.
Errors were calculated as follows: {text{Error }}% = left( {left( {{text{measured}};left( k right){text{predicted}};left( k right)} right)*100} right)/left( {{text{measured}};left( k right)} right).
For presentation purposes, axes are on a log-log scale, and the relative errors are calculated as an absolute value: E r = │(A r − A m)/A r │and E r = │(A r − A cal)/A r │.
Means and standard errors were calculated as ∑ length/n and S.D./√n, where n is the number of embryos analyzed.
Standard errors were calculated as in [ 46].
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