R programmingsimple calculatorunivariate data analysisThis chapter describes data processing and how computers perform the steps involved in turning data into information efficiently and effectively. It is indicated that many of these processing activities may be undertaken using R programming, or performed...
The popularity of the statistical environment R [1] has grown immensely in recent years. Functions for a vast number of statistical analyses, graphics and data processing are provided by the base system and thousands of add-on packages. This book aims to provide both novice and experienced ...
What we have noticed in the last few years is that more business schools are incorporating R programming into their statistics and data analysis courses. Some only provide a cursory look at it but a few others have their entire statistics and data analysis courses implemented in R programming. ...
Taking all of these factors into account, we created this online course that teaches you all of the data science math, including the R programming language. The R programming language was developed specifically for data analysis, superior statistical performance, and graphical representation. Although ...
Over the years, there have a been a few new competitors in the reproducible data analysis field, such asBeaker Notebookand, for heavy-duty business problems,Apache Zeppelin. However, today we’ll look at the relatively newR Notebooks, and how they help improve the workflows of common data ...
This repo was built for my ongoing project of publishing an introductory Chinese textbook titledData Analysis Using R for Social and Behavioral Sciences. I'm not familiar with theBookdownstyle yet. Once I figure it out, I will put all the materials into a bookdown repo. ...
radiator: an R package for RADseq Data Exploration, Manipulation and Visualization Most genomic analysis look for patterns and trends with various statistics. Bias, noise and outliers can have bounded influence on estimators and interfere with polymorphism discovery. Avoid bad data exploration and contro...
TheR programming languageis among the most widely used programming languages by statisticians, data scientists, and business analysts. The R language has an open-source community that offers over 7,000 add-on packages, as well as widely used R User Groups. ...
It combines modern graphical displays of data, a convenient and easy to learn programming language, and an extremely wide variety of statistical tools, to provide a tool that is both easy to use and powerful. Unfortunately, R is relatively little-known in the physics community. In this paper,...
Statistical tools for high-throughput data analysis Licence: Home Basics What's R and Why R? Installing R/RStudio Running R/RStudio R Programming Basics Getting Help Installing R Packages R Built-in data sets Data Import Export Reshape Manipulate Visualize R Graphics Essent...