Price loading...

R Programming: Statistical Data Analysis in Research

Anthropology & Sociology

Price data last checked 104 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

This book is written for statisticians, data analysts, programmers, researchers, professionals, and general consumers on how to perform different types of statistical data analysis for research purposes using R object-oriented programming language and RStudio integrated development environment (IDE). R is an open-source software with a development environment (RStudio) for computing statistics and graphical displays through data manipulation, modeling, and calculation. R packages and supported libraries provide a wide range of functions for programming and analyzing of data. Unlike many of the existing statistical software, R has the added benefit of allowing the users to write more efficient codes by using command-line scripting and vectors. It has several built-in functions and libraries that are extensible and allows the users to define their own (customized) functions on how they expect the program to behave while handling the data, which can also be stored in the simple object system. Therefore, this book serves as both textbook and manual for R statistics particularly in academic research, data analytics, and computer programming targeted to help inform and guide the work of the users. It provides information about different types of statistical data analysis and methods, and the best scenarios for use of each case in R. It gives a hands-on step-by-step practical guide on how to identify and conduct the different parametric and nonparametric procedures. This includes a description of the different conditions or assumptions that are necessary for performing the various statistical methods or tests, and how to understand the results of the methods. The book also covers the different data formats and sources, and how to test for the reliability and validity of the available datasets. Different research experiments, case scenarios, and examples are explained in this book. The book provides a comprehensive description and step-by-step practical hands-on guide to carrying out the different types of statistical analysis in R particularly for research purposes with examples. Ranging from how to import and store datasets in R as objects, how to code and call the methods or functions for manipulating the datasets or objects, factorization, and vectorization, to better reasoning, interpretation, and storage of the results for future use, and graphical visualizations and representations thus congruence of Statistics and Computer programming in Research.

Product Specifications

Format: hardcover
ASIN: 9819733847
Category: Books > Subjects > Biography > Medical, Legal & Social Sciences > Anthropology & Sociology
Domain: Amazon UK
Release Date: 08 July 2024
Listed Since: 19 April 2024

Barcode

No barcode data available

R Programming: Statistical Data Analysis in Research

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Computational Statistics: An Introduction to R

R for Statistics

Statistics and Data with R: An Applied Approach Through Examples

The R Software: Fundamentals of Programming and Statistical Analysis: 40 (Statistics and Computing, 40)

Introduction to R Programming Language - Data Science Guide

An Introduction to Data Analysis in R: Hands-on Coding, Data Mining, Visualization and Statistics from Scratch (Use R!)

Using R and RStudio for Data Management, Statistical Analysis, and Graphics

The Book of R, 2nd Edition A First Course in Programming and Statistics

Introductory Statistics with R (Statistics and Computing)

Using R for Statistics

Functional Data Analysis with R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

R Data Analysis without Programming: Explanation and Interpretation

Statistical Computing in C++ and R (Chapman & Hall/CRC The R Series)

Probability, Statistics, and Data: A Fresh Approach Using R (Chapman & Hall/CRC Texts in Statistical Science)

Data Analysis for Social Science: A Friendly and Practical Introduction

Advanced Statistics for the Behavioral Sciences: A Computational Approach with R

Statistical Analysis and Data Display: An Intermediate Course with Examples in R (Springer Texts in Statistics)

An Introduction to R for Non-Programmers

The R Book

Probability and Statistics for Engineering and the Sciences with Modeling using R (Textbooks in Mathematics)

Applied Statistics Using R: A Guide for the Social Sciences

Statistics Using R: An Integrative Approach

The R Book

Statistics with R: A Beginner's Guide