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S-PLUS
Published in Paul W. Ross, The Handbook of Software for Engineers and Scientists, 2018
S-PLUS is a graphical data analysis and mathematical computing system and an object-oriented programming language developed by MathSoft, Inc., StatSci Division. It is an enhanced superset of the S language developed at AT&T Bell Laboratories by Richard Becker, John Chambers, and Allan Wilks, described in The New S Language (Becker et al., 1988), and is the result of over 16 years of research and development at Bell Labs, plus over 7 years of development at Statistical Sciences (now MathSoft, StatSci division). S-PLUS is a general toolbox of methods for statisticians, applied mathematicians, and scientific researchers.S-PLUS emphasizes dynamic, interactive, and presentation graphics,exploratory data-analytic methods,statistical methods,mathematical computations, andextensibility through programming and interfaces to other languages.
Bigels as novel systems for the delivery active compounds from Centella asiatica
Published in Soft Materials, 2023
Agnieszka Kulawik-Pióro, Emilia Osak, Mariola Mendrycka, Zuzanna Trześniewska-Ofiara
The thixotropy and viscosity of the tested formulations were determined using a Brookfield R/S plus rheometer equipped with a C25–2 cone-plate measuring system. Measurement was carried out in the range of shear rates 1–1000 s−1 (ascending curve) and 1000–1 s−1 (descending curve), the measurement time was 60 s and the number of measurement points after the blocks was 60. The viscosity of the preparations was determined at the shear rate of 50 s−1. The rheometer was operated by the RheoWin300 program. Measurements were carried out in triplicate at a constant temperature of 25C (Huber Ministat thermostat). The dissipation energy was calculated according to the methodology described in detail in ref.[36]
Using general triangle inequalities within quadratic convex reformulation method
Published in Optimization Methods and Software, 2023
Let (SDP) be the ‘Shor's plus RLT plus Triangle’ semi-definite relaxation: where , , and , matrices , vectors , and scalars are the coefficients of constraints , , matrices , vectors , and scalars are the coefficients of constraints , and is the following set: If (SDP) has a relative interior feasible point, it holds that .
Considerations for the use of functional principal components analysis in sports biomechanics: examples from on-water rowing
Published in Sports Biomechanics, 2019
John Warmenhoven, Stephen Cobley, Conny Draper, Andrew Harrison, Norma Bargary, Richard Smith
A comprehensive review of FDA procedures on biomedical health data sets by Ullah and Finch (2013) found that the use of FDA techniques in biomedical research is still novel, but growing. A total of 84 articles were identified as a part of a systematic literature review, and 75% of the 84 articles were produced after 2005, with this likely occurring as a consequence of FDA being a more contemporary area of statistics. The growth of FDA is due in part to the abundance of literature and software available for using FDA techniques (also noted by Ullah & Finch, 2013). Ramsay and Silverman (2005) have provided an overview of the foundations and applications of FDA and also practical examples for the use of various FDA techniques were demonstrated in Ramsay and Silverman (2002). Supplementary software developed for MATLAB, S-PLUS and R by Ramsay and Silverman, specifically to support FDA processes, is also available from an FDA website: http://www.psych.mcgill.ca/misc/fda/ and are freely available for use. Graves, Hooker, and Ramsay (2009) in conjunction with this software also provide guidelines for the use of FDA techniques using MATLAB and R, allowing users the opportunity to tailor and customise FDA processes to their own data sets.