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By limiting the calculation to the content of the effectome, we avoid the likely distortion of the mean value caused by horizontally acquired genes.
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We have, necessarily, used particular prior distributions for the change in mean trait value caused by the PTVs.
This measure, Sstd, has also an intuitive interpretation in terms of elasticity: changing the considered trait value by a fraction f of the mean trait value causes fitness to increase by Sstd f (Hereford et al. 2004).
Precisely, a threshold established around that mean value will cause the maximum expected number of threshold crossings, as it is shown in Fig. 1 and Table 2.
For scenarios A, B, and C, the mean reported RSS values caused a positive error in distance estimation, mainly for the values measured with respect to reference R3.
Pastures (S3) at Stubai showed the lowest mean soil moisture values caused by simultaneously high ET and low management intensity (i.e. low biomass removal) – a unique combination compared with other grassland types.
A detailed analysis showed that the major difference in the mean value was effectively caused by single cases for which there was a great discrepancy between self-reported and administration data.
This is necessary to avoid inaccurate values caused by large differences of the mean values within the samples.
First, this model proposes a hypothesis that besides fluctuation around the mean value, all price changes are caused by the change of exogenous variables.
Based on this, discriminant function analysis can be used to determine which variables (Rf ranges) caused the mean value comparison to become significant or which variables can discriminate between groups.
Retention of statistical outliers in a data set can cause the mean value to be changed slightly whilst the confidence interval can be greatly increased.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com