<img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0015079.e002.PNG" class= inline-graphic"/> Matthews correlation coefficient can be in the range of −1 to 1, where 1 is a perfect correlation and -1 is the perfect anti-correlation.
Cells demonstrated oscillatory responses of identical frequency to the stimulus, suggesting that calcium transport was dominated alternately by ionophore-mediated increase and endogenously motivated decrease of <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0004847.e007.PNG" class= inline-graphic"/> in correlation to the presence of stimulus.
For directly comparing the connectivity difference between two groups, two-sample two-tailed t-test was performed on all 4005 potential connections included in the <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0008525.e137.PNG" class= inline-graphic"/> mean correlation matrices.
* lci = lower confidence interval **uci = upper confidence interval Based on the loadings in Table 4, a graphic approximation of correlations between CAM categories is presented in Figure 2. CAM categories are shown as vectors where a small angle between vectors represents a strong correlation between categories and an orthogonal angle represents independence between categories.
ICA/IC Qanalysis was carried out by means of an automated graphic plugin ([22], Image Correlation Analysis for the public domain image analysis software ImageJ Wayne Rasbandd; Research Services Branch, National Institutes of Health, Bethesda MD using the package and plugin available at the Wright Cellular Imaging Facility, Toronto Western Research Institute, UHN.
It is based on a graphic display of the correlation between sample size and effect size called the "funnel" plot, which plots a measure of sample size on the vertical axis as a function of effect sizes on the horizontal axis.
In order to compare the similarity between the <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0006052.e032.PNG" class= inline-graphic"/> and <img src="http://journals.plos.org/plosone/article/asset?id=info:doi/10.1371/journal.pone.0006052.e033.PNG" class="inline-graphic"/> profiles, their correlation was estimated using the Spearman coefficient.
It appears that values of <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0016117.e032.PNG" class= inline-graphic"/> follow linear correlation with plant population.
<img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0011935.e020.PNG" class= inline-graphic"/> has Spearman correlation coefficients greater than 0.8 with Akashi and Gojobori's energetic cost [2], Craig and Weber's energetic cost [1], Wagner's respiratory energetic cost [5], and molecular weight [7] (Supplementary File S2).
