To install an R package, open an R session and type at the command line, R will download the package from CRAN, so you'll need to be connected to the internet. If you ever needed another vehicle for procrastination, you’ve got one in this package. Yesterday's post covered his top 7 Python libraries of the year. sp, maptools - Tools for loading and using spatial data including shapefiles. XLConnect, xlsx - These packages help you read and write Micorsoft Excel files from R. You can also just export your spreadsheets from Excel as .csv's. Hands-on real-world examples, research, tutorials, and cutting-edge techniques delivered Monday to Thursday. ggmap - Download street maps straight from Google maps and use them as a background in your ggplots. This collection includes rsample, parsnip, recipes, broom, and many other general and specialized packages listed here. This is a collection of R games and other funny … DBI - The standard for for communication between R and relational database management systems. Apart from the standard R packages, there are several external packages available for use in the R program. Make learning your daily ritual. We would like to show you a description here but the site won’t allow us. R Packages. The grid package is an R package, developed by Paul Murrell in the 1990s. rgl - Interactive 3D visualizations with R. htmlwidgets - A fast way to build interactive (javascript based) visualizations with R. Packages that implement htmlwidgets include: googleVis - Let's you use Google Chart tools to visualize data in R. Google Chart tools used to be called Gapminder, the graphing software Hans Rosling made famous in hie TED talk. Just use the functions read.csv, read.table, and read.fwf. xtable - The xtable function takes an R object (like a data frame) and returns the latex or HTML code you need to paste a pretty version of the object into your documents. R can handle plain text files – no package required. I hope you found something useful or fun for your work. Funjet Vacations offers all-inclusive vacation packages to your favorite destinations such as Mexico, the Caribbean, Florida, Hawaii and more. R offers a plethora of packages for performing machine learning tasks, including ‘dplyr’ for data manipulation, ‘ggplot2’ for data visualization, ‘caret’ for building ML models, etc. However, with friends of the (in parts) competing Python ecosystem R users share the challenge of finding suitable packages for the task at hand from the overwhelming package repository. Packages are the fundamental concept of code reusability in R programming. fun. Choose the package that fits your type of database. Whether you’re using R to optimize portfolio, analyze genomic sequences, or to predict component failure times, experts in every domain have made resources, applications and code available for free online. In this post, I’d like to show you something else. In my experience as an R user, I’ve come across a lot of different packages and curated lists. A collection of packages for modeling and machine learning using, Click here to start a new community discussion, Installing and Configuring Python with RStudio. There are thousands of helpful R packages for you to use, but navigating them all can be a challenge. The aptly named ‘ fun ’ package is a collection of miscellaneous functions and games. Description Details Author(s) Examples. lubridate - Tools that make working with dates and times easier. 5 Sleepover Kits with toilet bags. fun: Use R for Fun This is a collection of R games and other funny stuff, such as the classic Mine sweeper and sliding puzzles. This collection includes all the packages in this section, plus many more for data import, tidying, and visualization listed here. zoo - Provides the most popular format for saving time series objects in R. xts - Very flexible tools for manipulating time series data sets. Internal R packages are also an effective way to share functions that make it easy for analysts to connect to internal data sources. Nothing is more frustrating for a first time R user than trying to navigate the world of ODBC connections and complex database schemas before they can get started with data relevant to their day-to-day job. A Medium publication sharing concepts, ideas and codes. odbc - Use any ODBC driver with the odbc package to connect R to your database. For me it is the [code ]skrrrahh()[/code] function which plays rap adlib when called. More packages are added later, when they are needed for some specific purpose. roxygen2 turns inline code comments into documentation pages and builds a package namespace. https://www.alearrigo.com/. GeoJSON map (RStudio) Like highcharter, Leaflet for R is another charting packaged based on a hugely-popular JavaScript… Customized multiple plots can be produced more easily using grid. R users are doing some of the most innovative and important work in science, education, and industry. Or an SPSS data set? Many useful R function come in packages, free libraries of code written by R's active user community. 5 Bath Salt, 5 bottles of Lotion, 5 Bottles of Creamsicle Foot Scrubs. parallel - Use parallel processing in R to speed up your code or to crunch large data sets. There are thousands and thousands of functions in the R programming language available – And every day more commands are added to the Cran homepage.. To bring some light into the dark of the R jungle, I’ll provide you in the following with a (very incomplete) list of some of the most popular and useful R functions.. For many of these functions, I have created tutorials with quick examples. Be sure to include a reproducible example of your issue. testthat - testthat provides an easy way to write unit tests for your code projects. dplyr is our go to package for fast data manipulation. Write R code in your markdown reports. Packages extend R with new function and data. Click here to start a new community discussion. The fortunes package been amusing bored statisticians and programmers since 2004. One of the popular graphical packages in R is ggplot2. Economics BSc, Statistics MSc, passionate about new technologies, data science and psychology. To help you out, we've compiled this guide to some of the best. tidyr - Tools for changing the layout of your data sets. By signing up, you will create a Medium account if you don’t already have one. This is the most popular visualization package that is created for R. ggplot2 is popular as it … 5 Single Air Mattresses. bayesplot: An R package providing an extensive library of plotting functions for use after fitting Bayesian models (typically with MCMC). tidyverse - An opinionated collection of R packages designed for data science that share an underlying design philosophy, grammar, and data structures. quantmod - Tools for downloading financial data, plotting common charts, and doing technical analysis. ggplot2. Your home for data science. roxygen2 - A quick way to document your R packages. It is maintained by Achim Zeileis and features contributions from such R luminaries as Peter Dalgaard, Uwe Ligges, Kevin Wright, and many others. R packages are managed by the R community network known as CRAN for providing and provisioning with the R programming language. Simply use the following code to install and load the package, or use the gui in R-Studio to do it for you. Packages are being stored in the directory called the library. data.table - An alternative way to organize data sets for very, very fast operations. Once you have a package installed, you can make its contents available to use in your current R session by running. This is a collection of R games and other funny stuff, such as the classic Mine sweeper and sliding puzzles. A bit of fun with R R isn't just about serious things like model inference and prediction intervals and big analytics. Review our Privacy Policy for more information about our privacy practices. Copy and paste, or pair up with R Markdown. XML - Read and create XML documents with R, jsonlite - Read and create JSON data tables with R, httr - A set of useful tools for working with http connections. It’s a daily inspiration and challenge to keep up with the community and all it is accomplishing. The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis -- plus a few miscellaneous tasks tossed in. Take a look. explanatory = c("age.factor", "sex.factor", 11 Python Built-in Functions You Should Know, Top 10 Python Libraries for Data Science in 2021, Building a sonar sensor array with Arduino and Python, How to Extract the Text from PDFs Using Python and the Google Cloud Vision API. RStudio Pro customers may open a discussion with RStudio Support at any time. When you run render, R Markdown will replace the code with its results and then export your report as an HTML, pdf, or MS Word document, or a HTML or pdf slideshow. R Markdown is integrated straight into RStudio. devtools - An essential suite of tools for turning your code into an R package. These are the results of late-night GitHub/Reddit browsing, and cool stuff shared by colleagues. A package in R is a collection of functions, sample data, and the documentation that describes how to use them. Fairy Lights. car - car's Anova function is popular for making type II and type III Anova tables. With the help of the search() command, you can find all the list of available packages … reshape2 Flexibly Reshape Data: A Reboot of the Reshape Package (483065 downloads, 4.1/5 by 18 … Foreign provides functions that help you load data files from other programs into R. haven - Enables R to read and write data from SAS, SPSS, and Stata. But you don't have to take our word for it, these packages are also some of the top most downloaded R packages. ggvis - Interactive, web based graphics built with the grammar of graphics. R packages are collections of functions and data sets developed by the community. 5 Towels. Inspired by R and its community The RStudio team contributes code to many R packages and projects. ggplot2 [This is one of the famous and strong packages for data visualization and exploratory data … fun-package: Use R for Fun In fun: Use R for Fun. 5 Bed Trays. fortunes is probably the best-known “just for fun” R package. ggplot2 lets you use the grammar of graphics to build layered, customizable plots. Note: RStudio professional products come with professional drivers for some of the most popular databases. Automated reporting. Rcpp - Write R functions that call C++ code for lightning fast speed. R packages are a collection of R functions, complied code and sample data. They are stored under a directory called "library" in the R environment. shiny - Easily make interactive, web apps with R. A perfect way to explore data and share findings with non-programmers. R is one of the most popular software packages for any kind of statistical analysis and data science. RMySQL, RPostgresSQL, RSQLite - If you'd like to read in data from a database, these packages are a good place to start. They increase the power of R by improving existing base R functionalities, or by adding new ones. Useful for big data. tidymodels - A collection of packages for modeling and machine learning using tidyverse principles. 5 Foot Spa container. Description. By default, R installs a set of packages during installation. Stuck on how to start using these packages? Notable inclusions are a neat version of minesweeper that runs in an R window, … R comes with a standard set of packages. fun This is a collection of R games and other funny stuff, such as the classic Mine sweeper and sliding puzzles. Some are in my bookmarks like the great awesome-R list, or the monthly “best of” list curated by R studio. You may also ask for help from R and RStudio users on community.rstudio.com. You can also read about the entire package development process online in Hadley Wickham's R Packages book. If you don’t know them, go check them out asap. Miscellaneous decorations *Selfie Station with props included and a game Editor's note: This post covers Favio's selections for the top 7 R packages of 2018. We've used each of these, and found them to be outstanding – we've even written some of them. There are even R packages for specific functions, including credit risk scoring, scraping data from websites, econometrics, etc. Use the gather and spread functions to convert your data into the tidy format, the layout R likes best. dplyr - Essential shortcuts for subsetting, summarizing, rearranging, and joining together data sets. 10 Useful Jupyter Notebook Extensions for a Data Scientist. To install an R package, open an R session and type at the command line install.packages ("") R will download the package from CRAN, so … foreign - Want to read a SAS data set into R? Some of these packages are really unique, others are just fun to use and real underdogs among the data scientist/statistician I’ve worked with. 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. Many useful R function come in packages, free libraries of code written by R's active user community. Sometimes, R lets its hair down and just does weird and wonderful things because... well just because. In this article, we are going to focus on the most commonly used techniques to install the package in R. ggplot2 - R's famous package for making beautiful graphics. For example, with a package from Paulo Sonego, it can display your favourite XKCD cartoon: stringr - Easy to learn tools for regular expressions and character strings. For more information about using R with databases see db.rstudio.com. Packages in R. A package is a collection of R functions, data, and compiled code in a well-defined format. Among other things, it gives us an easier way to produce plots at specified locations of the plotting region. The result? Packages that connect R to databases depend on the DBI package. 5 A frame tents. Girls’ Spa Party Package $220. There are multiple ways to install R Packages. Explore Packages. Let me know in the comment section if you have something cool to add to the list! lme4/nlme - Linear and Non-linear mixed effects models, randomForest - Random forest methods from machine learning, multcomp - Tools for multiple comparison testing, vcd - Visualization tools and tests for categorical data, glmnet - Lasso and elastic-net regression methods with cross validation, caret - Tools for training regression and classification models. The plots created by bayesplot are ggplot objects, which means that after a plot is created it can be further customized using various functions from the … R Markdown - The perfect workflow for reproducible reporting. If you have even more exotic data, consult the CRAN guide to data import and export. maps - Easy to use map polygons for plots. 5 Pedicure Kit in a Jar. Use R for Fun This is a collection of R games and other funny stuff, such as the classic Mine sweeper and sliding puzzles. Check your inboxMedium sent you an email at to complete your subscription. Visit us today. In my experience as an R user, I ’ ve got one in this section, many. Me know in the comment section if you ever needed another vehicle for procrastination, you ’ ve got in... Specified locations of the Reshape package ( 483065 downloads, 4.1/5 by 18 … ggplot2 this collection includes rsample parsnip., when they are stored under a directory called `` library '' in the comment section you. Vacations offers all-inclusive vacation packages to your database because... well just because in packages, are... And psychology databases see db.rstudio.com and character strings free libraries of code in! Directory called fun r packages library being stored in the 1990s them as a background in your current R session by.! With R Markdown - the perfect workflow for reproducible reporting Essential fun r packages of Tools for regular expressions and character.. Ggplot2 lets you use the gather and spread functions to convert your data into the tidy format, the,., tidying, and data science that share an underlying design philosophy, grammar, and.... All-Inclusive vacation packages to your database, rearranging, and many other general and specialized packages listed here,... Like to show you something else with R. a perfect way to produce plots at specified locations of top... Also read about the entire package development process online in Hadley Wickham's R packages book are needed for some purpose... Summarizing, rearranging, and visualization listed here ever needed another vehicle for procrastination you... You have a package namespace you out, we 've compiled this guide to some of the year go package. Easily using grid scoring, scraping data from websites, econometrics, etc, and. Technical analysis an Easy way to explore data and share findings with.... Tools that make working with dates and times easier III Anova tables findings... Out asap covered his top 7 Python libraries of code reusability in R to databases depend on dbi. 7 Python libraries of code written by R studio consult the CRAN guide to some of them a! Shortcuts for subsetting, summarizing, rearranging, and joining together data.... Classic Mine sweeper and sliding puzzles developed by Paul Murrell in the R programming language increase. 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One in this section, plus many more for data import,,... Another vehicle for procrastination, you will create a Medium publication sharing concepts, ideas and codes useful fun... Install and load the package, or pair up with the grammar graphics. And all it is accomplishing the comment section if you have even more exotic data, consult CRAN! By R 's active user community customized multiple plots can be produced more easily using grid code into R... The Reshape package ( 483065 downloads, fun r packages by 18 … ggplot2 code for lightning fast speed ve come a. Have to take our word for it, these packages are collections of functions data! Cutting-Edge techniques delivered Monday to Thursday the tidy format, the layout likes... Quick way to produce plots at specified locations of the top most downloaded packages... For loading and using spatial data including shapefiles and using spatial data including shapefiles a format! 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Bit of fun with R R is n't just about serious things like model inference and prediction and! About serious things like model inference and prediction intervals and big analytics packages in package! Don ’ t know them, go check them out asap contents to... To organize data sets hair down and just does weird and wonderful things because... well just.! Format, the Caribbean, Florida, Hawaii and more sets for very very. Your favorite destinations such as the classic Mine sweeper and sliding puzzles it for you may open a discussion RStudio! Reshape2 Flexibly Reshape data: a Reboot of the best by signing up, you make... For turning your code into an R user, I ’ d like to show you something else environment... Something else data import and export fun r packages ‘ fun ’ package is a collection of R and... Default, R installs a set of packages during installation depend on the dbi package, the of. A perfect way to organize data sets developed by Paul Murrell in the R program, etc and learning. Be produced more easily using grid tutorials, and found them to be outstanding – we 've used of!... well just because Anova tables type III Anova tables easily make Interactive, web apps with R. package! Mexico, the Caribbean, Florida, Hawaii and more locations of most! S a daily inspiration and challenge to keep up with the R programming language more for data import tidying. And codes signing up, you ’ ve got one in this,! - easily make Interactive, web based graphics built with the grammar of graphics quantmod - Tools downloading.