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Viral pairwise ML-corrected distances were analyzed using DIVEIN [23].
Cortex migration distances were analyzed by counting GFP+ cells in 10 equally-sized bins from pial surface to ventricle.
Differences between distances were analyzed with the Mann-Whitney U test, p < 0.01 was considered significant.
Species richness and UniFrac distances were analyzed by the Wilcoxon rank sum test (two-tailed) using R version 3.0.2 [ 65].
Correlations between genetic divergences and geographic distances were analyzed by plotting pairwise Rousset's distance (ΦST/[1- ΦST] or FST/[1- FST]) against the logarithm of geographical distance [ 30].
Correlations between genetic, geographic and climatic distances were analyzed to infer patterns of isolation by distance or the effect of ecological conditions on the genetic structure.
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Moreover, the sensitivity to stand-off distances is analyzed to illustrate the practicality of the presented technique.
This array of pairwise distances was analyzed by hierarchical clustering with hclust (complete) from the STATS package of R.
Frequency distribution of the measured distances was analyzed using the R program for statistical computing, version 2.15.2, together with the mclust software package for model-based clustering, classification, and density estimation (Fraley and Raftery 2002, Fraley at al. 2012).
The differences in staining intensities of various implants at the same distance were analyzed by performing independent sample t tests using SPSS 16.0 (SPSS, USA).
In their studies, the trends of the measurement accuracy with respect to focal length, image scale, and shooting distance were analyzed.
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