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On this account, different imaging techniques are combined for a deeper characterization of human skeletal remains: micro-computed tomography (micro-CT), mid-infrared (MIR) microscopic imaging and energy dispersive X-ray (EDS) mapping followed by multivariate data analyses (MIAs).
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Uni- and multivariate data analyses were applied.
Multivariate data analyses were performed using SPSS 17.0 software.
Untargeted GCMS based metabolomics was used to analyse the constituents of the different growth media, followed by multivariate data analysis.
Principle components analysis (PCA) was applied to analyse multivariate data; however, most multivariate analyses were uninformative due to the large amount of missing data from the fossil specimens.
Metabolomics analyses using GCxGC-MS, followed by multivariate statistical analyses of the data, revealed a number of discriminatory compounds between the varieties, but also effects of the difference in cultivation conditions.
This suggests that S. gattingeri comprises two morphologically cryptic species separated by the Mississippi Embayment (Fig. 2D), a hypothesis that is supported by multivariate morphological analyses (J. Semple, unpublished data).
Longitudinal data were analysed by multivariate analyses of variance (MANOVA) from four measurement occasions at 2-year inter-intervals.
Data analyzed by multivariate logistic regression analyses controlling for the confounding effects of age and sex.
Data were evaluated by multivariate analyses using Wilks lambda (MANOVAs) when the degrees of freedom relative to the number of levels of the repeated factor permitted this approach, or by univariate analyses of variance (ANOVAs) adjusting the degrees of freedom with the Huynh-Feldt epsilon [ 50].
Data were evaluated by multivariate analyses using Wilks lambda (MANOVAs) when the degrees of freedom relative to the number of levels of the repeated factor permitted this approach, or by univariate analyses of variance (ANOVAs) adjusting the degrees of freedom with the Greenhouse-Geisser epsilon [ 69].
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