R (programming language) - Wikipedia
WEB2 days ago · R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics, and data analysis. The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.
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R Online Course | Start Learning Today | Udemy™ Online Courses
AdLearn R online at your own pace. Start today and improve your skills. Join millions of learners from around the world already learning on Udemy.Site visitors: Over 100K in the past month
Lecture 1 - CS50's Introduction to Programming with R
WEB6 days ago · Programming is a way by which we can communicate instructions to a computer. There are many programming languages that one can use to program, including C, Python, Java, R, and on! We can use R to answer questions dealing with data, such as modeling how COVID-19 was spread on a cruise ship.
R-devel build for Windows - The Comprehensive R Archive Network
WEB4 days ago · The R-project for statistical computing. R-devel build for Windows. Download R-Devel build for Windows (82 megabytes, 64 bit) README on the Windows binary distribution. New features in this version. This build requires UCRT, which is part of Windows since Windows 10 and Windows Server 2016.
How to Use the reduce() Function in R - Statology
WEB4 days ago · Often you may want to reduce a list in R to a single value by iteratively applying a binary function. Fortunately this is easy to do by using the reduce() function from the purrr package in R, which is designed to perform this exact task. The reduce() function uses the following basic syntax: reduce(.x, .f) where:.x: The name of a list or ...
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Cultural SignificanceUsagePopularityHistoryMeaningOriginRelevanceSymbolismrChatextRemes: Extreme Value Analysis - R Package Documentation
WEBextRemes: Extreme Value Analysis. General functions for performing extreme value analysis. In particular, allows for inclusion of covariates into the parameters of the extreme-value distributions, as well as estimation through MLE, L-moments, generalized (penalized) MLE (GMLE), as well as Bayes. Inference methods include parametric ...
R Group by Mean With Examples - Spark By {Examples}
WEB5 days ago · To group by mean in R, you can use either the aggregate() function from base R or the group_by() and summarise() functions from the dplyr package. These methods allow you to group data in a data frame by a specific column and then compute the mean for each group in another column.
Introduction to R - Using R to analyze your data - Research Guides …
WEB5 days ago · What is R? Installing R and RStudio; Introduction to R; Visualization in R; Spatial Data in R; Digital Humanities in R; Sample Files for Workshops
Start Here - Analyze Data: R and RStudio - University of Guelph
WEBMay 15, 2024 · R / RStudio is a free software environment and coding language that is often used for statistical analysis and graphing data. R is the base software application, RStudio is additional software that makes working with R easier. R / RStudio supports a wide range of data tasks, including: data manipulation, data cleaning, data analysis ...
Subset Data Frame in R with Examples - Spark By {Examples}
WEB4 days ago · The subset() is a versatile R function that allows to subset the data frame based on specified conditions for the rows and columns (In R terms observations & variables). In this article, I will explain different ways of subsetting a data frame based on rows and columns.
data.table: Extension of `data.frame` - R Package Documentation
WEBMar 7, 2023 · Version. 1.15.4. URL. https://r-datatable.com https://Rdatatable.gitlab.io/data.table https://github.com/Rdatatable/data.table. Package repository. View on CRAN. Installation. Install the latest version of this package by entering the following in R: install.packages("data.table")
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