Sentence examples for statistical transformation of from inspiring English sources

Using a statistical transformation of the homozygosity weighted by loci (HL) index, we show that the relative importance of heterozygosity in Soay sheep population growth differs markedly between sexes and age-classes.

Next, by means of statistical transformation of the homozygosity weighted by loci index, we determine how heterozygosity contributes to population growth in Soay sheep by modelling individual contributions to population growth (pt(i)) as a function of several covariates, including sex, weight and faecal egg count – a surrogate of parasitic nematode burden in the gut.

Before describing the proposed algorithm one must appreciate the notion of a statistical transformation of electrocardiographic leads.

They are more difficult to interpret, however, because a statistical transformation of the scale of measurement can make many fan-shaped interactions disappear.

We performed statistical transformations on several of the outcome variables to better approximate the normality assumption of the linear model.

Usually, a geom is called to produce a ggplot layer, but it is possible to call a stat function directly to perform both the necessary statistical transformation and the rendering of the geometry through the geom = argument of the stat function.

The objective of statistical transformation is to supply the inputs necessary to produce a geom; for example, stat_bin sets up the data structure necessary for geom_bar and geom_histogram.

Part of the final answer is likely to include the creation of statistical transformations between instrument scores as has been done between the AQoL instruments [ 5].

However, confidence intervals of meta-QTLs have to be taken with caution, as they are the result of two successive statistical transformations (projection onto a consensus map and clustering), based themselves on the individual QTL confidence intervals.

Although some research-orientated universities opt out of the assessment procedures these HEIs were independently scored with a 'statistical transformation of (HESA) staff data' by the Higher Educational Statistical Agency (HESA), thus enabling them to be scored by the Times Higher Education ranking and included in this study.

For the statistical analyses, we checked the distribution of variables, and applied statistical transformations if necessary to meet the parametric criteria.