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R Basics Cheat Sheet | DataCamp
2022年6月3日 · Welcome to our cheat sheet for working with text data in R! This resource is designed for R users who need a quick reference guide for common tasks related to cleaning, processing, and analyzing text data.
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R Reference Card
sink(file) output to file, until sink() Most of the I/O functions have a file argument. This can often be a charac-ter string naming a file or a connection. file="" means the standard input or output. Connections can include files, pipes, zipped files, and R variables. On windows, the file connection can also be used with description = "clipboard".
Posit Cheatsheets - GitHub Pages
HTML versions of our popular cheatsheets. PDF versions are available to download on each cheatsheet page. There are also non-English translations available for many cheatsheets, contributed by the community.
R Programming Cheat Sheet – Dataquest
This cheat sheet provides a quick reference for essential R programming commands, helping you perform data manipulation, visualization, and statistical analysis with confidence.
give each argument its own line (including the first one!)
Get help of a particular function. Search the help files for a word or phrase. Find help for a package. Get a summary of an object’s structure. Find the class an object belongs to. Download and install a package from CRAN. Load the package into the session, making all its functions available to use. Use a particular function from a package.
For more R Cheat Sheets see http://devcheatsheet.com/tag/r/. read.csv(file), read.delim(file) versions of read.table with convenient defaults for comma-separated and tab-delimited files.
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DataCamp
This cheat sheet will cover an overview of getting started with R. Use it as a handy, high-level reference for a quick start with R. For more detailed R Cheat Sheets, follow the highlighted cheat sheets below.
Build a plot layer-by-later, starting with a call to ggplot(), specifying the data and aesthetic mappings, for instance, to x/y coordinates and color. Continue building a plot by adding layers such as geometric objects (geoms) or statistics, like a trendline.
Welcome to this cheat sheet on all the most common and essential functions for using R as an ecologist. The 51 functions covered here will allow you to do at least 80% of all the operations you will ever need to do in R as an ecologist.