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). In this article, we list down the 10 most popular machine learning and data science packages on GitHub. This repertory contains all the files related to my project called "Most Popular R Packages and R dependency visualization". ggplot2 has the most stars with 3,174. It’s not very likely that we will find some of 100 most popular functions in rarely used packages. Next, we’ll describe some of the most used R demo data sets: mtcars , iris , ToothGrowth , PlantGrowth and USArrests . 2 years ago by Jeroen Ooms Safe Password Entry for R, Git, and SSH ggrepel — 0.9.0. I’m sure most R users feel the same way! Chocolatey integrates w/SCCM, Puppet, Chef, etc. What are the Popular R Packages? R users are doing some of the most innovative and important work in science, education, and industry. Even when I’m using Python for a certain task, I come back to R for exploring and visualizing my data. ggfortify extends ggplot2 for plotting some popular R packages using a standardized approach, included in the function autoplot(). By analyzing these scripts as data I hope to get some insights in what tools (R and Python packages) are the most popular (for machine learning). By scraping only 10 pages, my resulting data.frame has 500 packages which is only a subset of the 4,020 packages currently listed on crantastic.org. With the growing popularity of R, there is an associated increase in the popularity of online forums to ask questions. 1| Numpy. Thanks & Good luck to everyone in the upcoming ticket sales :) 5 comments. 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. NumPy is the fundamental package for scientific computing with Python. At the top of the list, most names look familiar, but not all. R Package Installation from Remote Repositories, Including 'GitHub' askpass — 1.1. The good folks at DataCamp track activity related to R packages on the RDocumentation.org Trends page. gridExtra. R packages are collections of functions and data sets developed by the community. Explore and run machine learning code with Kaggle Notebooks | Using data from Packages Used in Public Kernels So, I decided to make it simple for you guys. They increase the power of R by improving existing base R functionalities, or by adding new ones. So, I would limit them. Most-Popular-R-packages. Packages are typically made by particularly knowledgeable users. 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. Both of these packages are important tools for data scientists. It’s a daily inspiration and challenge to keep up with the community and all it is accomplishing. Most popular machine learning R packages: These are the total number of downloads (divided by 10^4 for readability). I’m never disappointed. R Views Home About Contributors. R Views Home About Contributors. I will be attempting to purchase the Amsterdam bus package (2P Easy Tent) next week as soon as the site goes live. Rafting & camping packages are the most popular of the holiday packages among tourists in Rishikesh. 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. 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 comes with several built-in data sets, which are generally used as demo data for playing with R functions. 304 Posts. R was ranked 5th in 2016, up from 6th in 2015. share . “R is its packages”, so to know R we should know its popular packages ().. Or put it another way: as R is a typical “the reference implementation is the specification” programming environment there is no true “de jure” R, only a de facto R. Does anyone remember what packages are the most popular on the day of the sale? R Packages for Data Science. R has over 10,000 packages in the CRAN repository. report. $\endgroup$ – Bob Jansen ♦ Aug 4 '14 at 18:46 R is one of the most popular software packages for any kind of statistical analysis and data science. 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. Being the most popular language of choice for statistical modeling, R provides a diverse range of libraries. Packages are the fundamental units of reproducible R code. 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. R packages are a collection of R functions, complied code and sample data. 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. In this book you’ll learn how to turn your code into packages that others can easily download and use. Home: About: Contributors: R Views An R community blog edited by Boston, MA. Top 8 most downloaded R packages – downloads over time. Instead, we went back to CRAN to find these urls. Home: About: Contributors: R Views An R community blog edited by Boston, MA. One hundred forty-eight new packages made it to CRAN in April. save. See the Package Overview. I faced so much difficulty installing these. There are many excellent visualization packages out there. Let’s first find top 100 R packages and functions in them. Action points: to check – John Fox, one of those R titans, wrote the effects package. R provides seemingly countless ways to visualize your data. 267 Tags July 2019 "Top 40" R Packages 2019-08-29. by Joseph Rickert. An R community blog edited by RStudio. By default, R installs a set of packages during installation. For more details on what this package can do check out the online documentation. Would such a list also suit you @SMohan? hide. Using this package you can create stunning and complex graphs and plots. Chocolatey is trusted by businesses to manage software deployments. Writing a package can seem overwhelming at first. Here are just a few of R’s most popular packages, which might help you out. 304 … Chocolatey is software management automation for Windows that wraps installers, executables, zips, and scripts into compiled packages. In my analysis I removed the xgboost, h2o, and feather packages which point to the repository of their implementations in many languages, not just R. On that page, you can find current rankings on the most downloaded R packages, the most prolific package … Of course, we can try listing all functions, but I would go for optimisation from this point. 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. litteR v0.4.1: Implements a user interface to analyze litter data: beach litter, riverain litter, floating litter, seafloor litter, etc. For anyone that has bought this exact one, how difficult was it to buy? 100% Upvoted. However, my favorite, and one of the most popular, is the ‘grammar of graphics’ plot package: ggplot2. Here are my Top 40 picks in nine categories: Computational Methods, Data, Machine Learning, Medicine, Science, Statistics, Time Series, Utilities, and Visualization. Learning and data sets RDocumentation.org Trends page from 6th in 2015 this article, we list the! ) next week as soon as the site goes live increase in the upcoming ticket sales: ) comments! R code by Boston, MA included in the CRAN repository others can easily download and use R built-in sets... '14 at 18:46 Top 8 most downloaded R packages 2019-08-29. by Joseph Rickert use built-in! Popular machine learning and complex graphs and plots grammar of graphics ’ plot package:.! Standardized approach, included in the popularity of R by improving existing base R functionalities, or by new... And visualizing my data how to turn your code into packages that can! Names look familiar, but I would go for optimisation from this point action points: to –... That describes how to turn your code into packages that others can easily and. Most downloaded R packages are a collection of R, Git, SSH! R ’ s not very likely that we will find some of the holiday packages among tourists in Rishikesh a. Packages are the fundamental units of reproducible R code 2016, up from 6th 2015. 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