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Python for R Users
The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to program in R. Short on theory and long on actionable analytics, it provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations—complete with sample code—of R to Python and Python to R. Following an introduction to both languages, the author cuts to the chase with step-by-step coverage of the full range of pertinent program...
R for Business Analytics
This book examines common tasks performed by business analysts and helps the reader navigate the wealth of information in R and its 4000 packages to create useful analytics applications. Includes interviews with corporate users of R, and easy-to-use examples.
SAS for R Users
BRIDGES THE GAP BETWEEN SAS AND R, ALLOWING USERS TRAINED IN ONE LANGUAGE TO EASILY LEARN THE OTHER SAS and R are widely-used, very different software environments. Prized for its statistical and graphical tools, R is an open-source programming language that is popular with statisticians and data miners who develop statistical software and analyze data. SAS (Statistical Analysis System) is the leading corporate software in analytics thanks to its faster data handling and smaller learning curve. SAS for R Users enables entry-level data scientists to take advantage of the best aspects of both tools by providing a cross-functional framework for users who already know R but may need to work with...
Beginning R
Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization, parallel processing, bootstrapping, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done. It has been completely re-written since the first edition to make use of the latest packages and features in R version 3. R is a powerful open-source language and programming environment for sta...
The One from the Stars
“The cost of not following your heart is spending the rest of your life wishing you had.” Vishesh is a dreamer, who is driven by his passion for writing and words. But like most Indian middle class families, his parents are impatient to see him settled in a government job. Despite all obstacles, making no complaints, he continues to follow the hard path, holding up the promise he had made to himself, trying to fulfil his father's wishes, and failing over and over. Almost everyone – his parents, friends, and the love of his life – leaves his side in the middle of his journey. To worsen things, he is diagnosed with Obsessive Compulsive Disorder, the seriousness of which nobody could decipher before it was too late. Will a dreamer be sacrificed for social standing? Will a heart be crushed to uphold a hollow image? Left alone and misunderstood by everyone he knew, this is Vishesh's intense story of repeatedly falling down and trying to get up on his own, to prove that everyone who dares to follow their heart is not a commoner; he is The One From The Stars.
Statistical Application Development with R and Python
Software Implementation Illustrated with R and Python About This Book Learn the nature of data through software which takes the preliminary concepts right away using R and Python. Understand data modeling and visualization to perform efficient statistical analysis with this guide. Get well versed with techniques such as regression, clustering, classification, support vector machines and much more to learn the fundamentals of modern statistics. Who This Book Is For If you want to have a brief understanding of the nature of data and perform advanced statistical analysis using both R and Python, then this book is what you need. No prior knowledge is required. Aspiring data scientist, R users tr...
Evidence-Based Critical Care
This extensively updated textbook comprehensively reviews the latest developments in evidence-based critical care. Topics are covered in a case study format with an emphasis on the principles of diagnosis and therapy. Each topic is covered using a variety of case studies and features a case vignette, clinical question and an additional discussion section to clarify areas of particular importance. Topics including cytokine release syndrome, sympathomimetic overdose and palliative care in the intensive care unit have been extensively revised, while new sections focusing on neuromuscular disease and subarachnoid hemorrhages have been added. Evidence-Based Critical Care, 2nd edition is a critical resource for critical care practitioners, fellows, residents; allied health professionals and medical students who wish to expand their knowledge within critical care. The case study-based approach taken in the textbook makes this an ideal resource for those preparing for board examinations.
R for Cloud Computing
R for Cloud Computing looks at some of the tasks performed by business analysts on the desktop (PC era) and helps the user navigate the wealth of information in R and its 4000 packages as well as transition the same analytics using the cloud. With this information the reader can select both cloud vendors and the sometimes confusing cloud ecosystem as well as the R packages that can help process the analytical tasks with minimum effort, cost and maximum usefulness and customization. The use of Graphical User Interfaces (GUI) and Step by Step screenshot tutorials is emphasized in this book to lessen the famous learning curve in learning R and some of the needless confusion created in cloud com...
R for Business Analytics
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. The use of Graphical User Interfaces (GUI) is emphasized in this book to further cut down and bend the famous learning curve in learning R. This book is aimed to help you kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models and forecasting. T...
SAS for R Users
BRIDGES THE GAP BETWEEN SAS AND R, ALLOWING USERS TRAINED IN ONE LANGUAGE TO EASILY LEARN THE OTHER SAS and R are widely-used, very different software environments. Prized for its statistical and graphical tools, R is an open-source programming language that is popular with statisticians and data miners who develop statistical software and analyze data. SAS (Statistical Analysis System) is the leading corporate software in analytics thanks to its faster data handling and smaller learning curve. SAS for R Users enables entry-level data scientists to take advantage of the best aspects of both tools by providing a cross-functional framework for users who already know R but may need to work with...
