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Therefore, we recommend using a square-root de-correlation that employs instead of.
For transmission, the analyses are performed using a square root transformation.
The startle data were not normally distributed, so they were normalized using a square root transformation.
For the proportions of sites, data were normalized using an arcsin square-root transform.
BMI was transformed using an inverse square-root function t(x) = −1/√ x.
For the sigmoidal and exponential models, we also considered commonly used transformations (i.e., square, square root, inverse, etc).
Normality was achieved using a reflected square root transformation of the data.
Use a square sheet of paper.
Redundant conformers were eliminated using a root mean square deviation cutoff of 0.5Å.
For the GLM and mixed models, skewed residuals were normalized if needed using arcsine square root and square root transformations for proportions and frequencies, respectively, and significant interactions were further explored with post hoc pairwise comparisons using the differences of the least square means.
In nonlinear dynamic analyses, the detailed structural model subjected to a ground-motion record produces estimates of component deformations for each degree of freedom in the model and the modal responses are combined using schemes such as the sum of squares square root.
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