Sentence examples for subdivided the data from inspiring English sources

We therefore subdivided the data set to determine the nature of this divergence.

Therefore, the clustering algorithm subdivided the data set into clusters that are mainly characterized by subdivisions along the main coordinate axes.

These cut points were chosen as they subdivided the data into 3 approximately equal sized groups.

However, two studies which subdivided the data into different decades 28 31 suggest that the effects have not changed markedly since 1980.

To display these relationships for each organism, we subdivided the data into 41 half-years, dropped weeks 52 (or 53) and 1 (which are atypical, as noted above), and de-seasonalized the data.

To examine whether different categories of sex-biased transcription have different compositions of phenotypes, we subdivided the data set into five expression categories, each with equal range: (1) 0 < x < 0.2; (2) 0.2 < x < 0.4; (3) 0.4 < x < 0.6; (4) 0.6 < x < 0.8; and (5) 0.8 < x < 1.0.

The categorical data were chosen as the most significant splitting variables to subdivide the data sets for the C storage in the humus layer (categorical splitting variable: humus type), in living trees/dead wood (categorical splitting variable: forestral growth districts) and in the mineral soil (categorical splitting variable: soil type) into subclasses.

The greater genetic proximity of Neandertals to Europeans and Asians than to Africans is seen no matter how we subdivide the data: (i) by individual pairs of humans (Table 4), (ii) by chromosome, (iii) by substitutions that are transitions or transversions, (iv) by hypermutable CpG versus all other sites, (v) by Neandertal sequences shorter or longer than 50 bp, and (vi) by 454 or Illumina data.

Subdividing the data into groups according to the different formulations given illustrates that formulation A and B elicited a robust increase in cAMP (57 and 38.7% increase, respectively), whereas the increase in cAMP levels resulting from ingestion of formulation C were more modest (14.9% increase).

Random forest is an extension of classification and regression trees (7), predictive models that recursively subdivide the data based on values of the predictor variables.

Figure 1 shows a more detailed picture of the prevalence of elevated BLLs by subdividing the data by age group and year.