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Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences

Posted By: AvaxGenius
Date: 23 Apr 2023 17:13:54
Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences

Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences by Ron Wehrens
English | PDF | 2011 | 289 Pages | ISBN : 3642178405 | 5.8 MB

"Chemometrics with R" offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a complete description of the general data analysis paradigm, from exploratory analysis to modeling to validation. Several more specific topics from the area of chemometrics are included in a special section. The corresponding R code is provided for all the examples in the book; scripts, functions and data are available in a separate, publicly available R package. For researchers working in the life sciences, the book can also serve as an easy-to-use primer on R.
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A User’s Guide to Network Analysis in R (Repost)

Posted By: AvaxGenius
Date: 22 Aug 2021 23:53:13
A User’s Guide to Network Analysis in R (Repost)

A User’s Guide to Network Analysis in R by Douglas Luke
English | EPUB | 2015 | 241 Pages | ISBN : 3319238825 | 8.7 MB

Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data collection and management, network description, visualization, and building and testing statistical models of networks.
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R for Business Analytics

Posted By: AvaxGenius
Date: 17 Nov 2020 22:24:51
R for Business Analytics

R for Business Analytics by A Ohri
English | EPUB | 2012 | 320 Pages | ISBN : 1461443423 | 10.5 MB

R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum usefulness.
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An Introduction to Statistical Learning: with Applications in R (Corrected at 8th printing 2017)

Posted By: AvaxGenius
Date: 9 Aug 2020 13:01:35
An Introduction to Statistical Learning: with Applications in R (Corrected at 8th printing 2017)

An Introduction to Statistical Learning: with Applications in R by Gareth James
English | PDF,EPUB (True) | 2013 (Corrected at 8th printing 2017) | 434 Pages | ISBN : 1461471370 | 14.62 MB

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years.
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