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It wasn't published first, but it was where I started, so working with facts and data is natural to me.
Using the E1684 data as the historical data and the E1690 data as the current data is natural here within the Bayesian paradigm and this will serve as the basis for our analysis.
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To help meet assumptions of MANOVA and ANOVA, the following data were natural logarithm transformed: boron, sodium, aluminum, phosphorus, manganese, copper, selenium, rubidium, molybdenum, cadmium; were square-root transformed: cobalt, nickel, arsenic; or were not transformed: magnesium, sulfur, potassium, calcium, iron, zinc, strontium.
Farmers who collect and own their data are natural partners with companies who are trying to validate their product performance.
Where necessary, data were natural log or square root transformed to achieve normal distributions.
A preliminary analysis showed that the parasite loads and shoaling parameters were not normally distributed, and therefore the data was natural log-transformed.
To normalize the highly skewed distribution of mRNA expression levels of C16orf74, the data were natural log transformed and then back transformed for the interpretation of the results [34].
Data were natural log-transformed before analysis.
Before statistical analysis, DON data were natural log transformed.
Where these assumptions were violated, the data were natural log or square root transformed and retested.
EDA data were natural log transformed to correct for a positive skew in the distribution.
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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