In general, this type of aggregation analyses helps identify proximity correlations and functional relationships between the signals and anchors.
High correlations between false positives (upper left panel) and between true nonzeros (lower right panel) lie near the main diagonal of self-correlations indicating spatial proximity of correlated SNPs as expected from the LD structure shown in Figure 3C.
Condition 3: When, after the correction of the original driving simulator measurements, the numerical proximity conditions of Correlation Type A or Correlation Type B are being fulfilled.
Except GF9 (overseas products and related issues) with its proximity 9.113 and −0.036 negative correlation with marketing, others can be combined with this cluster because they have a highly strong positive correlation with each other.
Data analysis and presentation was made using SPSS tools (correlation, proximity, and T test) and impact-effort analysis matrix tool.
Comparison of experimental output with those predicted by the developed models showed close proximity having high correlation coefficients R2 for the various response variables.
The difference of the average speed from the speed limit of trainees, novice and experienced drivers in highway presents acceptable numerical proximity after correction (Correlation Type C).
The maximum speed of the trainees in rural road presents also accepted numeric proximity after correction (Correlation Type C), which is smaller than above ("−3,5") (see Fig. 3 series).
The most important findings are as follows: The difference of the average speed from the speed limit of trainees, novice and experienced drivers in highway presents acceptable numerical proximity after correction (Correlation Type C).
We also compare reliable GINs with those GINs constructed using a global proximity measure Pearson correlation coefficient on single datasets.
