So, I decided to make it simple for you guys. IEEE publishes a list of the most popular programming languages each year. I’m sure most R users feel the same way! At the top of the list, most names look familiar, but not all. As of this writing, it tracks statistics on 11,768 packages (distributed across CRAN, BioConductor and Github) comprising over 1.7 million R functions in total. Let’s first have a look at the number of downloads per day for these 5 months, of the top 8 most downloaded packages (click the image for a larger version): We can see the strong weekly seasonality of the downloads, with Saturday and Sunday having much fewer downloads than other days. Rafting & camping packages are the most popular of the holiday packages among tourists in Rishikesh. R is popular – and increasing in popularity. Inspired by R and its community The RStudio team contributes code to many R packages and projects. They are stored under a directory called "library" in the R environment. For example, if you are usually working with data frames, probably you will have heard about dplyr or data.table, two of the most popular R packages. R has more than 12 000 packages! save. 2 years ago by Jeroen Ooms Safe Password Entry for R, Git, and SSH ggrepel — 0.9.0. R has over 10,000 packages in the CRAN repository. It was sometimes hard to pick out the correct Github repo, and not all R packages are implemented using the R language (the "language:R" parameter in the search API seems to refer to the most popular language that the repository is written in). But since the pages I scraped had the packages sorted by user ratings, it should be plenty: it is safe to assume that the 50 packages with the most users are within the 500 packages with best ratings. One of the most popular sites is StackOverflow, where more than 60 thousand questions have been asked and tagged to be related to R. On the same page, you can also find related tags. Even when I’m using Python for a certain task, I come back to R for exploring and visualizing my data. 1| Numpy. One hundred forty-eight new packages made it to CRAN in April. You can also have a look at the list of popular R packages that did not make it to the most useful for data science, either it is not a data science tool (like RCurl) or did not meet the above criteria, like MASS which has no development website and no vignette. For more details on what this package can do check out the online documentation. litteR v0.4.1: Implements a user interface to analyze litter data: beach litter, riverain litter, floating litter, seafloor litter, etc. So, I would limit them. Here are just a few of R’s most popular packages, which might help you out. Both of these packages are important tools for data scientists. R packages are collections of functions and data sets developed by the community. On that page, you can find current rankings on the most downloaded R packages, the most prolific package … Chocolatey integrates w/SCCM, Puppet, Chef, etc. An R community blog edited by RStudio. What are the Popular R Packages? 267 Tags July 2019 "Top 40" R Packages 2019-08-29. by Joseph Rickert. Thanks & Good luck to everyone in the upcoming ticket sales :) 5 comments. Packages are the fundamental units of reproducible R code. Beyond some of the popular packages such as caret, ggplot, dplyr, lattice, there exist many more libraries which remain unnoticeable, but prove to be very handy at certain stages of analysis. I will be attempting to purchase the Amsterdam bus package (2P Easy Tent) next week as soon as the site goes live. NumPy is the fundamental package for scientific computing with Python. Explore and run machine learning code with Kaggle Notebooks | Using data from Packages Used in Public Kernels R provides seemingly countless ways to visualize your data. Chocolatey is software management automation for Windows that wraps installers, executables, zips, and scripts into compiled packages. While it is not possible to list out all the libraries, we will discuss the most common and useful libraries that Data Scientists use in their everyday tasks. gridExtra. The good folks at DataCamp track activity related to R packages on the RDocumentation.org Trends page. For anyone that has bought this exact one, how difficult was it to buy? I faced so much difficulty installing these. There’s more, most R packages are available under the same license so you can use them, even in commercial applications without having to call your lawyer. Rstan is the R interface for stan, which is the state-of-the-art platform for statistical modeling and high-performance statistical computation. S look at a few of R ’ s a daily inspiration and challenge to up! Generally most popular r packages as demo data for playing with R functions, but I would go optimisation... 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