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In each case, the data were transformed to approximate normality using an appropriate Box Cox transformation (Box and Cox 1964).
The bee abundance data were transformed to log10 (because because the data were highly skewed and the transformation ensured the data fitted assumptions of normality more closely.
Then, the χ(k) data were transformed to R space.
Data were transformed to approximate a standard normal distribution.
The data were transformed to the frequency domain, enabling comparison with closed-form analytic expressions of one-dimensional pressure transport in layered porous media.
The population data were transformed to log (CFU/g).
Data were transformed to account for negative scoring questions of the MATE.
Prior to statistical analysis, water quality data were transformed to reduce heteroscedasticity by taking the natural logarithm [ln(x + 1)].
Prior to the analysis, the environmental data were transformed to log (x + 1), where x is the value of an environmental variable.
All input data were transformed to 1° × 1° spatial resolution and subsequent model simulations were performed at this spatial resolution as well.
In the qualitative strand, 51 NPAs and related administrative code were analyzed to classify guidance on RN and LPN practice; then, the coded data were transformed to quantitative indicators of specificity regarding LPN and RN scope of practice.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com