Exact(1)
The seemingly highly computationally expensive data transformation is not performed but instead, ingeniously, the separation is performed "implicitly" based on their distances measured with the use of a kernel function.
Similar(59)
Despite the results being expressed as a percentage, data transformation was not necessary as the data were inspected for normality and for the relationship between fitted values and residuals.
The predator presence/absence data had extremely low Whitaker's beta diversity (β = 0.1) and low values of the coefficient of variation for both taxa (CV = 87.6) and sample locations (CV = 22.8); therefore data transformation was not required.
However, data transformation was not necessary in all cases, and no single transformation was consistently better in normalizing the data across all laboratories and end points [ Supplemental Material (http://www.ehponline.org/docs/2006/8751/suppl.pdf)].
This transformation is not universal.
But the transformation is not entirely unbelievable.
Transformation is not death.
Transformation is not the end.
Scan data were analysed using GeneSpring GX v12 (Agilent Technologies, UK). Baseline transformation was not employed and data were normalised using a Lowess model.
Synthesis of the data, which involves some form of transformation, was not performed.
All the data had normal distribution and hence log transformation was not required.
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