Supplement to Multivariate statistical analysis and partitioning of sedimentary geochemical data sets: General principles and specific MATLAB scripts
Pisias, Nicklas G
Murray, Richard W; SCOPUS: 57002067100
Scudder, Rachel P
We present here annotated MATLAB scripts (and specific guidelines for their use) for Q-mode factor analysis, a constrained least squares multiple linear regression technique, and a total inversion protocol, that are based on the well-known approaches taken by Dymond (1981), Leinen and Pisias (1984), Kyte et al. (1993), and their predecessors. Although these techniques have been used by investigators for the past decades, their application has been neither consistent nor transparent, as their code has remained in-house or in formats not commonly used by many of today's researchers (e.g., FORTRAN). In addition to providing the annotated scripts and instructions for use, we include a sample data set for the user to test their own manipulation of the scripts.
How to cite this dataset:
Pisias, N. G., Murray, R. W., Scudder, R. P., 2014. Supplement to Multivariate statistical analysis and partitioning of sedimentary geochemical data sets: General principles and specific MATLAB scripts, Version 1.0. Interdisciplinary Earth Data Alliance (IEDA). https://doi.org/10.1594/IEDA/100422.
DOI Creation Date:
Pisias, N. G., R. W. Murray, and R. P. Scudder (2013), Multivariate statistical analysis and partitioning of sedimentary geochemical data sets: General principles and specific MATLAB scripts, Geochem. Geophys. Geosyst., 14, 4015–4020, doi:10.1002/ggge.20247.
Creative Commons Attribution-NonCommercial-Share Alike 3.0 United States [CC-BY-NC-SA-3.0]
Coverage Scope: Other
User Contributed Keyword(s):
multivariate statistical analysis, SedDB
Data Available On: