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We transformed the dependent variable before analysis by calculating the difference between the starting value of the hurricane (either size or intensity) and the participant's judgment.
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Accuracy analysis was performed by calculating absolute and relative errors.
Multivariate outlier analysis was conducted by calculating Mahalanobis' distances.
The cost analysis was done by calculating net present value.
A descriptive analysis was performed by calculating proportions.
In the analysis presented here, the effectiveness of assistance was evaluated before and after Active Support training by calculating the likelihood of engagement occurring given the occurrence of assistance.
The analysis of the strength of rapid SV fluctuations was done by calculating the gradient of SV before and after the identified epoch of rapid SV fluctuation (Tables 3 and 4).
Burnin was used to exclude from following analysis those trees which were sampled before convergence of the chains; this was assessed case-by-case by calculating average, standard deviation and variance.
Before statistical analysis, these values were converted to the logarithm of the minimal angle of resolution (logMAR) by calculating the base 10 logarithm of the Snellen fraction [e.g. normal = log(20/20) = 0].
EEG activity greater than ±120 µV was excluded from further analysis before calculating the averaged auditory ERP for each participant.
Before further analysis we calculated each patient's potassium curve using linear interpolation.
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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