More Books:

Introduction to Data Analysis with R for Forensic Scientists
Language: en
Pages: 331
Authors: James Michael Curran
Categories: Law
Type: BOOK - Published: 2010-07-30 - Publisher: CRC Press

Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack the statistical skills or resources that would allow them to explore their data to its full potential. Introduction to Data Analysis with R for Forensic Sciences minimizes theory and mathematics
An Introduction to Data Analysis using Aggregation Functions in R
Language: en
Pages: 199
Authors: Simon James
Categories: Computers
Type: BOOK - Published: 2016-11-07 - Publisher: Springer

This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn
An Introduction to Data Analysis in R
Language: en
Pages: 276
Authors: Alfonso Zamora Saiz, Carlos Quesada González, Lluís Hurtado Gil, Diego Mondéjar Ruiz
Categories: Computers
Type: BOOK - Published: 2020-07-27 - Publisher: Springer Nature

This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises at the end of
An Introduction to Statistical Analysis in Research
Language: en
Pages: 616
Authors: Kathleen F. Weaver, Vanessa C. Morales, Sarah L. Dunn, Kanya Godde, Pablo F. Weaver
Categories: Mathematics
Type: BOOK - Published: 2017-08-04 - Publisher: John Wiley & Sons

Provides well-organized coverage of statistical analysis and applications in biology, kinesiology, and physical anthropology with comprehensive insights into the techniques and interpretations of R, SPSS®, Excel®, and Numbers® output An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences develops a conceptual foundation in statistical
An Introduction to Applied Multivariate Analysis with R
Language: en
Pages: 274
Authors: Brian Everitt, Torsten Hothorn
Categories: Mathematics
Type: BOOK - Published: 2011-04-23 - Publisher: Springer Science & Business Media

The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few