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description= Learn R language: case-sensitive, interpreted language with vectors, matrices, data frames. Use built-in functions, packages for data analysis.;
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r interface skip to main content en english español português deutsch beta français beta italiano beta türkçe beta bahasa indonesia beta tiếng việt beta nederlands beta हिन्दी beta 日本語 beta 한국어 beta polski beta română beta русский beta svenska beta ไทย beta 中文 简体 beta more information found an error docs blogs tutorials docs new podcasts cheat sheets code alongs newsletter browse courses documents r documentation r tutorial r interface batch processing customizing startup getting help graphic user interfaces input output publication quality output reusing results r packages the workspace data input in r access to database management systems dbms data types date values exporting data getting information on a dataset importing data keyboard input missing data value labels variable labels data management in r aggregating data built in functions control structures creating new variables data type conversion merging data operators reshaping data sorting data subsetting data user written functions statistics in r anova assessing classical test assumptions bootstrapping cluster analysis correlations correspondence analysis descriptive statistics discriminant function analysis frequencies and crosstabs generalized linear models matrix algebra multidimensional scaling multiple linear regression nonparametric tests of group differences power analysis principal components and factor analysis regression diagnostics resampling statistics time series and forecasting tree based models t tests using with and by graphs in r axes and labels bar plots boxplots combining plots correlograms creating a graph dotplots graphical parameters graphics with ggplot2 history and density plots interactive graphs lattice graphs line charts pie charts probability plots scatterplot visualizing categorical data home docs r documentation r documentation r interface data input in r data management in r statistics in r graphs in r r interface documents r is a dialect of the s language it is a case sensitive interpreted language you can enter commands one at a time at the command prompt or run a set of commands from a source file there is a wide variety of data types including vectors numerical character logical matrices data frames and lists most functionality is provided through built in and user created functions and all data objects are kept in memory during an interactive session basic functions are available by default other functions are contained in packages that can be attached to a current session as needed r is a case sensitive language foo foo and foo are three different objects this section describes working with the r interface a key skill to using r effectively is learning how to use the built in help system other sections describe the working environment inputting programs and outputting results installing new functionality through packages guis that have been developed for r customizing the environment producing high quality output and running programs in batch a fundamental design feature of r is that the output from most functions can be used as input to other functions this is described in reusing results to practice to explore r try this free introduction to r course which introduces getting started with r in more detail grow your data skills with datacamp for mobile make progress on the go with our mobile courses and daily 5 minute coding challenges learn learn python learn ai learn power bi learn data engineering assessments career tracks skill tracks courses data science roadmap data courses python courses r courses sql courses power bi courses tableau courses alteryx courses azure courses aws courses google cloud courses google sheets courses excel courses ai courses data analysis courses data visualization courses machine learning courses data engineering courses probability statistics courses datalab get started pricing security documentation certification certifications data scientist data analyst data engineer sql associate power bi data analyst tableau certified data analyst azure fundamentals ai fundamentals resources resource center upcoming events blog code alongs tutorials docs open source rdocumentation book a demo with datacamp for business data portfolio plans pricing for students for business for universities discounts promos sales expense datacamp datacamp donates for business business pricing teams plan data ai unlimited plan customer stories partner program about about us learner stories careers become an instructor press leadership contact us datacamp español datacamp português datacamp deutsch datacamp français support help center become an affiliate facebook twitter linkedin youtube instagram privacy policy cookie notice do not sell my personal information accessibility security terms of use 2026 datacamp inc all rights reserved
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