Complete Guide To 3d Plots In R

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Complete Guide to 3D Plots in R

Author : Alboukadel KASSAMBARA
Publisher : Alboukadel KASSAMBARA
ISBN 13 :
Total Pages : 113 pages
Book Rating : 4./5 ( download)

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Book Synopsis Complete Guide to 3D Plots in R by : Alboukadel KASSAMBARA

Download or read book Complete Guide to 3D Plots in R written by Alboukadel KASSAMBARA and published by Alboukadel KASSAMBARA. This book was released on with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a complete guide for visualizing a data in 3 dimensions (3D) using R software. It contains 2 main parts and 7 chapters describing how to draw static and interactive 3D plots. - The chapter 1 is about data preparation for 3D plot - In chapter 2, we describe how to create easily basic static 3D scatter plots. We provide R codes for changing: 1) main and axis titles; 2) the appearance of the plot (point colors, labels and shapes, legend position, ...) - Chapter 3 presents how to create advanced static 3D plots including 3D scatter plots with confidence interval, 3D line plots, 3D texts, 3D barplots, 3D histograms and 3D arrows. - Chapter 4 describes the required package for drawing interactive 3D plots. - In chapter 5, we show how to transform easily an existing static 3D plot into aninteractive 3D plot. - Chapter 6 provides many examples of R codes for creating interactive 3D scatter plotswith 3D regression surfaces and concentration ellipsoids. We describe also how to exportthese graphs as png or pdf files. - Chapter 7 presents a complete guide to RGL 3D visualization device system. We provide also R codes for creating a movie from RGL 3D scene and for exporting plot into an interactive HTML web file. Each chapter is organized as an independent quick start guide. This means that, you don’tneed to read the different chapters in sequence.

Complete Guide to 3D Plots in R

Author : Alboukadel Kassambara
Publisher :
ISBN 13 : 9781517651596
Total Pages : 106 pages
Book Rating : 4.6/5 (515 download)

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Book Synopsis Complete Guide to 3D Plots in R by : Alboukadel Kassambara

Download or read book Complete Guide to 3D Plots in R written by Alboukadel Kassambara and published by . This book was released on 2015 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a complete guide for visualizing a data in 3 dimensions (3D) using R software. It contains 2 main parts and 7 chapters describing how to draw static and interactive 3D plots. The chapter 1 is about data preparation for 3D plot. In chapter 2, we describe how to create and customize easily basic static 3D scatter plots. Chapter 3 presents how to create advanced static 3D plots including 3D scatter plots with confidence interval, 3D line plots, 3D texts, 3D bar plots, 3D histograms and 3D arrows. Chapter 4 describes the required package for drawing interactive 3D plots. In chapter 5, we show how to transform easily an existing static 3D plot into an interactive 3D plot. Chapter 6 provides many examples of R codes for creating interactive 3D scatter plots with 3D regression surfaces and concentration ellipsoids. We describe also how to export these graphs as PNG or PDF files. Chapter 7 presents a complete guide to RGL 3D visualization device system. We provide also R codes for creating a movie from RGL 3D scene and for exporting plot into an interactive HTML web file.

Practical Guide to Cluster Analysis in R

Author : Alboukadel Kassambara
Publisher : STHDA
ISBN 13 : 1542462703
Total Pages : 168 pages
Book Rating : 4.5/5 (424 download)

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Book Synopsis Practical Guide to Cluster Analysis in R by : Alboukadel Kassambara

Download or read book Practical Guide to Cluster Analysis in R written by Alboukadel Kassambara and published by STHDA. This book was released on 2017-08-23 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although there are several good books on unsupervised machine learning, we felt that many of them are too theoretical. This book provides practical guide to cluster analysis, elegant visualization and interpretation. It contains 5 parts. Part I provides a quick introduction to R and presents required R packages, as well as, data formats and dissimilarity measures for cluster analysis and visualization. Part II covers partitioning clustering methods, which subdivide the data sets into a set of k groups, where k is the number of groups pre-specified by the analyst. Partitioning clustering approaches include: K-means, K-Medoids (PAM) and CLARA algorithms. In Part III, we consider hierarchical clustering method, which is an alternative approach to partitioning clustering. The result of hierarchical clustering is a tree-based representation of the objects called dendrogram. In this part, we describe how to compute, visualize, interpret and compare dendrograms. Part IV describes clustering validation and evaluation strategies, which consists of measuring the goodness of clustering results. Among the chapters covered here, there are: Assessing clustering tendency, Determining the optimal number of clusters, Cluster validation statistics, Choosing the best clustering algorithms and Computing p-value for hierarchical clustering. Part V presents advanced clustering methods, including: Hierarchical k-means clustering, Fuzzy clustering, Model-based clustering and Density-based clustering.

Practical Guide To Principal Component Methods in R

Author : Alboukadel KASSAMBARA
Publisher : STHDA
ISBN 13 : 1975721136
Total Pages : 171 pages
Book Rating : 4.9/5 (757 download)

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Book Synopsis Practical Guide To Principal Component Methods in R by : Alboukadel KASSAMBARA

Download or read book Practical Guide To Principal Component Methods in R written by Alboukadel KASSAMBARA and published by STHDA. This book was released on 2017-08-23 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although there are several good books on principal component methods (PCMs) and related topics, we felt that many of them are either too theoretical or too advanced. This book provides a solid practical guidance to summarize, visualize and interpret the most important information in a large multivariate data sets, using principal component methods in R. The visualization is based on the factoextra R package that we developed for creating easily beautiful ggplot2-based graphs from the output of PCMs. This book contains 4 parts. Part I provides a quick introduction to R and presents the key features of FactoMineR and factoextra. Part II describes classical principal component methods to analyze data sets containing, predominantly, either continuous or categorical variables. These methods include: Principal Component Analysis (PCA, for continuous variables), simple correspondence analysis (CA, for large contingency tables formed by two categorical variables) and Multiple CA (MCA, for a data set with more than 2 categorical variables). In Part III, you'll learn advanced methods for analyzing a data set containing a mix of variables (continuous and categorical) structured or not into groups: Factor Analysis of Mixed Data (FAMD) and Multiple Factor Analysis (MFA). Part IV covers hierarchical clustering on principal components (HCPC), which is useful for performing clustering with a data set containing only categorical variables or with a mixed data of categorical and continuous variables.

Learn R Programming in 24 Hours

Author : Alex Nordeen
Publisher : Guru99
ISBN 13 :
Total Pages : 349 pages
Book Rating : 4./5 ( download)

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Book Synopsis Learn R Programming in 24 Hours by : Alex Nordeen

Download or read book Learn R Programming in 24 Hours written by Alex Nordeen and published by Guru99. This book was released on 2020-10-31 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: R is a programming language developed is widely used for statistical and graphical analysis. It can execute advance machine learning algorithms including earning algorithm, linear regression, time series, statistical inference. R programming language is used by Fortune 500 companies and tech bellwethers like Uber, Google, Airbnb, Facebook, Apple. R provides a data scientist tools and libraries (Dplyr) to perform the 3 steps of analysis 1) Extract 2) Transform, Cleanse 3) Analyze. Table of Contents Chapter 1: What is R Programming Language? Introduction & Basics Chapter 2: How to Download & Install R, RStudio, Anaconda on Mac or Windows Chapter 3: R Data Types, Arithmetic & Logical Operators with Example Chapter 4: R Matrix Tutorial: Create, Print, add Column, Slice Chapter 5: Factor in R: Categorical & Continuous Variables Chapter 6: R Data Frame: Create, Append, Select, Subset Chapter 7: List in R: Create, Select Elements with Example Chapter 8: R Sort a Data Frame using Order() Chapter 9: R Dplyr Tutorial: Data Manipulation(Join) & Cleaning(Spread) Chapter 10: Merge Data Frames in R: Full and Partial Match Chapter 11: Functions in R Programming (with Example) Chapter 12: IF, ELSE, ELSE IF Statement in R Chapter 13: For Loop in R with Examples for List and Matrix Chapter 14: While Loop in R with Example Chapter 15: apply(), lapply(), sapply(), tapply() Function in R with Examples Chapter 16: Import Data into R: Read CSV, Excel, SPSS, Stata, SAS Files Chapter 17: How to Replace Missing Values(NA) in R: na.omit & na.rm Chapter 18: R Exporting Data to Excel, CSV, SAS, STATA, Text File Chapter 19: Correlation in R: Pearson & Spearman with Matrix Example Chapter 20: R Aggregate Function: Summarise & Group_by() Example Chapter 21: R Select(), Filter(), Arrange(), Pipeline with Example Chapter 22: Scatter Plot in R using ggplot2 (with Example) Chapter 23: How to make Boxplot in R (with EXAMPLE) Chapter 24: Bar Chart & Histogram in R (with Example) Chapter 25: T Test in R: One Sample and Paired (with Example) Chapter 26: R ANOVA Tutorial: One way & Two way (with Examples) Chapter 27: R Simple, Multiple Linear and Stepwise Regression [with Example] Chapter 28: Decision Tree in R with Example Chapter 29: R Random Forest Tutorial with Example Chapter 30: Generalized Linear Model (GLM) in R with Example Chapter 31: K-means Clustering in R with Example Chapter 32: R Vs Python: What's the Difference? Chapter 33: SAS vs R: What's the Difference?

The Definitive Guide to JasperReports

Author : Teodor Danciu
Publisher : Apress
ISBN 13 : 1430205210
Total Pages : 236 pages
Book Rating : 4.4/5 (32 download)

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Book Synopsis The Definitive Guide to JasperReports by : Teodor Danciu

Download or read book The Definitive Guide to JasperReports written by Teodor Danciu and published by Apress. This book was released on 2007-10-23 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the JavaOne award winning JasperReports tool at length. Written by JasperForge’s Teodor Danciu, Founder and Architect JasperReport, this authoritative book: Shows the power that this open source Java reporting tool has and its ability to deliver rich content onto the screen, to the printer, or into PDF, HTML, XLS, CSV and XML files Demonstrates how JasperReports can be used in a variety of Java-enabled applications, including Java EE or web applications, to generate dynamic content Teaches you how to create page-oriented, ready-to-print documents in a simple and flexible manner

R Graphics Cookbook

Author : Winston Chang
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449316956
Total Pages : 414 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis R Graphics Cookbook by : Winston Chang

Download or read book R Graphics Cookbook written by Winston Chang and published by "O'Reilly Media, Inc.". This book was released on 2013 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Practical recipes for visualizing data"--Cover.

The Book of R

Author : Tilman M. Davies
Publisher : No Starch Press
ISBN 13 : 1593276516
Total Pages : 833 pages
Book Rating : 4.5/5 (932 download)

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Book Synopsis The Book of R by : Tilman M. Davies

Download or read book The Book of R written by Tilman M. Davies and published by No Starch Press. This book was released on 2016-07-16 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

Graphing Data with R

Author : John Jay Hilfiger
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491922567
Total Pages : 297 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Graphing Data with R by : John Jay Hilfiger

Download or read book Graphing Data with R written by John Jay Hilfiger and published by "O'Reilly Media, Inc.". This book was released on 2015-10-19 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: It’s much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You’ll learn methods for highlighting important relationships and trends, reducing data to simpler forms, and emphasizing key numbers at a glance. Anyone who wants to analyze data will find something useful here—even if you don’t have a background in mathematics, statistics, or computer programming. If you want to examine data related to your work, this book is the ideal way to start. Get started with R by learning basic commands Build single variable graphs, such as dot and pie charts, box plots, and histograms Explore the relationship between two quantitative variables with scatter plots, high-density plots, and other techniques Use scatterplot matrices, 3D plots, clustering, heat maps, and other graphs to visualize relationships among three or more variables

The New International Encyclopædia

Author : Frank Moore Colby
Publisher :
ISBN 13 :
Total Pages : 966 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis The New International Encyclopædia by : Frank Moore Colby

Download or read book The New International Encyclopædia written by Frank Moore Colby and published by . This book was released on 1917 with total page 966 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Euler Math Toolbox

Author : Rene Grothmann
Publisher : Rene Grothmann
ISBN 13 :
Total Pages : 220 pages
Book Rating : 4./5 ( download)

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Book Synopsis Euler Math Toolbox by : Rene Grothmann

Download or read book Euler Math Toolbox written by Rene Grothmann and published by Rene Grothmann. This book was released on 2021-08-23 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a complete introduction into Euler Math Toolbox, the mighty numerical and algebraic math program for schools and universities. To learn more about the program itself, visit euler-math-toolbox.de.

The New International Encyclopaedia

Author : Frank Moore Colby
Publisher :
ISBN 13 :
Total Pages : 962 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis The New International Encyclopaedia by : Frank Moore Colby

Download or read book The New International Encyclopaedia written by Frank Moore Colby and published by . This book was released on 1923 with total page 962 pages. Available in PDF, EPUB and Kindle. Book excerpt:

New International Encyclopedia

Author :
Publisher :
ISBN 13 :
Total Pages : 972 pages
Book Rating : 4.:/5 (321 download)

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Book Synopsis New International Encyclopedia by :

Download or read book New International Encyclopedia written by and published by . This book was released on 1916 with total page 972 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Practical Guide to Age-Period-Cohort Analysis

Author : Wenjiang Fu
Publisher : CRC Press
ISBN 13 : 1466592664
Total Pages : 251 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis A Practical Guide to Age-Period-Cohort Analysis by : Wenjiang Fu

Download or read book A Practical Guide to Age-Period-Cohort Analysis written by Wenjiang Fu and published by CRC Press. This book was released on 2018-04-27 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Age-Period-Cohort analysis has a wide range of applications, from chronic disease incidence and mortality data in public health and epidemiology, to many social events (birth, death, marriage, etc) in social sciences and demography, and most recently investment, healthcare and pension contribution in economics and finance. Although APC analysis has been studied for the past 40 years and a lot of methods have been developed, the identification problem has been a major hurdle in analyzing APC data, where the regression model has multiple estimators, leading to indetermination of parameters and temporal trends. A Practical Guide to Age-Period Cohort Analysis: The Identification Problem and Beyond provides practitioners a guide to using APC models as well as offers graduate students and researchers an overview of the current methods for APC analysis while clarifying the confusion of the identification problem by explaining why some methods address the problem well while others do not. Features · Gives a comprehensive and in-depth review of models and methods in APC analysis. · Provides an in-depth explanation of the identification problem and statistical approaches to addressing the problem and clarifying the confusion. · Utilizes real data sets to illustrate different data issues that have not been addressed in the literature, including unequal intervals in age and period groups, etc. Contains step-by-step modeling instruction and R programs to demonstrate how to conduct APC analysis and how to conduct prediction for the future Reflects the most recent development in APC modeling and analysis including the intrinsic estimator Wenjiang Fu is a professor of statistics at the University of Houston. Professor Fu’s research interests include modeling big data, applied statistics research in health and human genome studies, and analysis of complex economic and social science data.

Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R

Author : Robert J. Knell
Publisher : Robert Knell
ISBN 13 : 0957597118
Total Pages : 531 pages
Book Rating : 4.9/5 (575 download)

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Book Synopsis Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R by : Robert J. Knell

Download or read book Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R written by Robert J. Knell and published by Robert Knell. This book was released on 2014-05-14 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: R is now the most widely used statistical software in academic science and it is rapidly expanding into other fields such as finance. R is almost limitlessly flexible and powerful, hence its appeal, but can be very difficult for the novice user. There are no easy pull-down menus, error messages are often cryptic and simple tasks like importing your data or exporting a graph can be difficult and frustrating. Introductory R is written for the novice user who knows a little about statistics but who hasn't yet got to grips with the ways of R. This new edition is completely revised and greatly expanded with new chapters on the basics of descriptive statistics and statistical testing, considerably more information on statistics and six new chapters on programming in R. Topics covered include: A walkthrough of the basics of R's command line interface Data structures including vectors, matrices and data frames R functions and how to use them Expanding your analysis and plotting capacities with add-in R packages A set of simple rules to follow to make sure you import your data properly An introduction to the script editor and advice on workflow A detailed introduction to drawing publication-standard graphs in R How to understand the help files and how to deal with some of the most common errors that you might encounter. Basic descriptive statistics The theory behind statistical testing and how to interpret the output of statistical tests Thorough coverage of the basics of data analysis in R with chapters on using chi-squared tests, t-tests, correlation analysis, regression, ANOVA and general linear models What the assumptions behind the analyses mean and how to test them using diagnostic plots Explanations of the summary tables produced for statistical analyses such as regression and ANOVA Writing your own functions in R Using table operations to manipulate matrices and data frames Using conditional statements and loops in R programmes. Writing longer R programmes. The techniques of statistical analysis in R are illustrated by a series of chapters where experimental and survey data are analysed. There is a strong emphasis on using real data from real scientific research, with all the problems and uncertainty that implies, rather than well-behaved made-up data that give ideal and easy to analyse results.

The American Catalogue

Author :
Publisher :
ISBN 13 :
Total Pages : 1642 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis The American Catalogue by :

Download or read book The American Catalogue written by and published by . This book was released on 1911 with total page 1642 pages. Available in PDF, EPUB and Kindle. Book excerpt: American national trade bibliography.

Beginner's Guide for Data Analysis using R Programming

Author : Jeeva Jose
Publisher : KHANNA PUBLISHING HOUSE
ISBN 13 : 938617345X
Total Pages : 368 pages
Book Rating : 4.3/5 (861 download)

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Book Synopsis Beginner's Guide for Data Analysis using R Programming by : Jeeva Jose

Download or read book Beginner's Guide for Data Analysis using R Programming written by Jeeva Jose and published by KHANNA PUBLISHING HOUSE. This book was released on with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: R programming is an efficient tool for statistical analysis of data. Data science has become critical to each field and the popularity of R is skyrocketing. Organization as large and diverse as Google, Facebook, Microsoft, Bank of America, Ford Motor Company, Mozilla, Thomas Cook, The New York Times, The National Weather Service, Twitter, ANZ Bank, Uber, Airbnb etc . have turned to R for reporting, analyzing and visualization of data, this book is for students and professionals of Mathematics, Statistics, Physics, Chemistry, Biology, Social Science and Medicine, Business, Engineering, Software, Information Technology, Sales, Bio Informatics, Pharmacy and any one, where data needs to be analyzed and represented graphically.