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...
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. ...
Datanovia: Online Data Science Courses R-Bloggers In our previous articles, we published i) guides forinstallingandlaunching R/RStudio, ii) thebasics of R programming, and ii) guides forfinding help in R. Here, we’ll describe: what is anR package ...
Join our course and become part of an ever-increasing vibrant community using the object-oriented programming environment R as their playground Course leader Martin Reinhardt Nielsen Course aim This course aims to provide participants with tools and experience in managing and analyzing data, using ...
even though R is a functional programming language, it does not enforce that on the developer. Both opportunities have been well addressed bydata.tableR package, which is available in CRAN repository. It performs quite fast when grouping operations, and is particularly memory efficient by being car...
“Data Science Using R: Comprehensive Training in Data Analysis, Visualization, and Machine Learning Techniques . What you’ll learn Proficient R Programming: Develop a solid foundation in R programming for data manipulation, analysis, and visualization. ...
The GS programming technique described for histograms can also be used by DXT-like compression schemes, where the size of the output blobs is known in advance. DXT is a compression algorithm that takes a 4x4-pixel block as input. The two most representative colors are chosen ...
are evolving rapidly, and the need for computing power increases dramatically every year. For this reason, CGGVeritas has always pioneered new high-performance computing (HPC) technologies, and in this work we explore GPUs and NVIDIA's CUDA programming model to accelerate our industrial ...
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. ...
hand-side argumentx. This is the recommended programming style in fixed-point. For example fixed-point types often grow their word length in a sum, which is governed by theSumModeproperty of thefimathobject, so that the right-hand-sidex + bitsra(y,i)can have a different data type thanx...