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Using R for Biostatistics (Repost)

Posted By: AvaxGenius
Using R for Biostatistics (Repost)

Using R for Biostatistics by Thomas W. MacFarland
English | EPUB | 2021 | 929 Pages | ISBN : 303062403X | 200.8 MB

This book introduces the open source R software language that can be implemented in biostatistics for data organization, statistical analysis, and graphical presentation. In the years since the authors’ 2014 work Introduction to Data Analysis and Graphical Presentation in Biostatistics with R, the R user community has grown exponentially and the R language has increased in maturity and functionality.

Epidemics: Models and Data using R (Repost)

Posted By: AvaxGenius
Epidemics: Models and Data using R (Repost)

Epidemics: Models and Data using R by Ottar N. Bjørnstad
English | EPUB | 2018 | 318 Pages | ISBN : 3319974866 | 134.9 MB

This book is designed to be a practical study in infectious disease dynamics. The book offers an easy to follow implementation and analysis of mathematical epidemiology. The book focuses on recent case studies in order to explore various conceptual, mathematical, and statistical issues. The dynamics of infectious diseases shows a wide diversity of pattern. Some have locally persistent chains-of-transmission, others persist spatially in ‘consumer-resource metapopulations’. Some infections are prevalent among the young, some among the old and some are age-invariant.

Extending Power BI with Python and R: Ingest, transform, enrich, and visualize data using the power of analytical (repost)

Posted By: hill0
Extending Power BI with Python and R: Ingest, transform, enrich, and visualize data using the power of analytical (repost)

Extending Power BI with Python and R:
Ingest, transform, enrich, and visualize data using the power of analytical languages

English | 2021 | ISBN: ‎ 1801078203 | 558 Pages | True EPUB | 16 MB

Deep Learning with R Cookbook: Over 45 unique recipes to delve into neural network techniques using R 3.5.x (Repost)

Posted By: step778
Deep Learning with R Cookbook: Over 45 unique recipes to delve into neural network techniques using R 3.5.x (Repost)

Swarna Gupta, Rehan Ali Ansari, Dipayan Sarkar, "Deep Learning with R Cookbook: Over 45 unique recipes to delve into neural network techniques using R 3.5.x"
English | 2020 | pages: 328 | ISBN: 1789805678 | EPUB | 15,2 mb

Statistics in Natural Resources: Applications with R

Posted By: sasha82
Statistics in Natural Resources: Applications with R

Statistics in Natural Resources: Applications with R by Matthew Russell
2022 | ISBN: 1032258780 | English | 334 pages | EPUB | 17.4 MB

An Introduction to Multivariable Mathematics

Posted By: AvaxGenius
An Introduction to Multivariable Mathematics

An Introduction to Multivariable Mathematics by Leon Simon
English | PDF | 2008 | 142 Pages | ISBN : 1598298011 | 1.22 MB

The text is designed for use in a forty-lecture introductory course covering linear algebra, multivariable differential calculus, and an introduction to real analysis.
The core material of the book is arranged to allow for the main introductory material on linear algebra, including basic vector space theory in Euclidean space and the initial theory of matrices and linear systems, to be covered in the first ten or eleven lectures, followed by a similar number of lectures on basic multivariable analysis, including first theorems on differentiable functions on domains in Euclidean space and a brief introduction to submanifolds. The book then concludes with further essential linear algebra, including the theory of determinants, eigenvalues, and the spectral theorem for real symmetric matrices, and further multivariable analysis, including the contraction mapping principle and the inverse and implicit function theorems. There is also an appendix which provides a nine-lecture introduction to real analysis. There are various ways in which the additional material in the appendix could be integrated into a course–for example in the Stanford Mathematics honors program, run as a four-lecture per week program in the Autumn Quarter each year, the first six lectures of the nine-lecture appendix are presented at the rate of one lecture per week in weeks two through seven of the quarter, with the remaining three lectures per week during those weeks being devoted to the main chapters of the text.

Solving Differential Equations in R (Repost)

Posted By: AvaxGenius
Solving Differential Equations in R (Repost)

Solving Differential Equations in R by Karline Soetaert
English | EPUB | 2012 | 258 Pages | ISBN : 3642280692 | 271.7 MB

Mathematics plays an important role in many scientific and engineering disciplines. This book deals with the numerical solution of differential equations, a very important branch of mathematics. Our aim is to give a practical and theoretical account of how to solve a large variety of differential equations, comprising ordinary differential equations, initial value problems and boundary value problems, differential algebraic equations, partial differential equations and delay differential equations.

Introductory Fisheries Analyses with R

Posted By: DZ123
Introductory Fisheries Analyses with R

Derek H. Ogle, "Introductory Fisheries Analyses with R"
English | 2015 | ISBN: 148223520X | PDF | pages: 322 | 9.4 mb

Introduction to Mathematics for Economics with R

Posted By: hill0
Introduction to Mathematics for Economics with R

Introduction to Mathematics for Economics with R
English | 2022 | ISBN: 3031052013 | 882 Pages | PDF EPUB (True) | 51 MB

Nature in Silico: Population Genetic Simulation and its Evolutionary Interpretation Using C++ and R

Posted By: hill0
Nature in Silico: Population Genetic Simulation and its Evolutionary Interpretation Using C++ and R

Nature in Silico: Population Genetic Simulation and its Evolutionary Interpretation Using C++ and R
English | 2022 | ISBN: 3030973808 | 331 Pages | PDF EPUB (True) | 36 MB

Statistik in Theorie und Praxis: Mit Anwendungen in R

Posted By: AvaxGenius
Statistik in Theorie und Praxis: Mit Anwendungen in R

Statistik in Theorie und Praxis: Mit Anwendungen in R by Michael Falk, Johannes Hain, Frank Marohn, Hans Fischer, René Michel
Deutsch | PDF(True) | 2014 | 512 Pages | ISBN : 3642552528 | 12.3 MB

In diesem Buch werden ausführlich reale Anwendungen der Statistik in Wirtschaft und Forschung erörtert und mit einer exakten Herleitung der vorgestellten Verfahren verbunden. Damit baut das Buch eine breite Brücke zwischen Theorie und Praxis der Statistik. Die zahlreichen Anwendungsbeispiele werden mit dem kostenlosen Softwarepaket R und der zugehörigen grafischen Oberfläche R-Commander berechnet. Zusätzlich werden Projekte an der Schnittstelle zwischen Schul- und Hochschulunterricht vorgestellt, die mit Schülern oder Studenten durchgeführt werden können.

Learn Emotion Analysis with R

Posted By: hill0
Learn Emotion Analysis with R

Learn Emotion Analysis with R:
Perform Sentiment Assessments, Extract Emotions, and Learn NLP Techniques Using R and Shiny

English | 2021 | ISBN: 9390684153 | 552 Pages | True EPUB | 12 MB
R

R – kurz & gut

Posted By: hill0
R – kurz & gut

R – kurz & gut
Deutsch | 2022 | ISBN: 3960091338 | 232 Pages | True MOBI EPUB | 4 MB
R

Crack Your Next Data Science Interview with 300+ Questions: SQL,Statistics,Python,R,Aptitude,Project Description

Posted By: DZ123
Crack Your Next Data Science Interview with 300+ Questions: SQL,Statistics,Python,R,Aptitude,Project Description

TheDataMonk, "Crack Your Next Data Science Interview with 300+ Questions: SQL,Statistics,Python,R,Aptitude,Project Description"
English | 2019 | ASIN: B07TSJ85FP | EPUB | pages: 124 | 0.4 mb

R Web Scraping Quick Start Guide

Posted By: hill0
R Web Scraping Quick Start Guide

R Web Scraping Quick Start Guide: Techniques and tools to crawl and scrape data from websites
by Olgun Aydin

English | 2018 | ISBN: 1789138736 | 114 Pages | PDF EPUB MOBI (True) | 38 MB
R Web