Main statistical analyses.
GSA devised and carried out the principal component and statistical analyses.
MW: Principal investigator, collected data, statistical analyses and manuscript writing ANÅ: Main supervisor, statistical analyses, and manuscript writing IMSE: contributed to manuscript writing CMR and JKT: supervised data collection and have been involved in revising manuscript The study was part of the EU-funded project PROMISE-EBF (contract no INCO-CT 2004-003660, web ).
Statistical analyses (principal components analyses: PCA) were used to provide four theoretical patterns on vegetation distribution in Mediterranean belts during the Upper Pleistocene and the Late Holocene.
Exploratory analyses (scatter plots and box plots) and multivariate statistical analyses (principal component analysis, PCA, and correlation analysis, CA) techniques were used to assess and discriminate sources of variations in the dataset.
We characterized differences in the metabolomic profiles of the three groups using multivariate statistical analyses: principal components analysis (PCA) and partial least squares discriminant analysis (PLS-DA).
Statistical analyses included descriptive statistics, principal component analysis, t-tests, analysis of variance, linear regression, and multivariate analysis of variance.
TeN: Principal investigator, collected data, performed statistical analyses, and wrote the manuscript.
All statistical analyses (dynamic principal component analysis and one way ANOVA) were performed on normalized data.
To evaluate the applicability of data matrices generated by FragmentAlign for further statistical analyses, a principal component analysis (PCA) was conducted using the GC-MS data obtained from 3 biological sources: Arabidopsis leaves, Lotus japonicus leaves, and Arabidopsis cultured cells.
