Interface to Python
The reticulate package provides a comprehensive set of tools for interoperability between Python and R. The package includes facilities for: Calling Python from R in a variety of ways including R Markdown, sourcing Python scripts, importing Python modules, and using Python interactively within an R session. Translation between R and Python objects (for example, between R and Pandas data frames, or
RPubs - natural-language-processing
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SparkR (R on Spark) - Spark 3.5.3 Documentation
SparkR (R on Spark) Overview SparkDataFrame Starting Up: SparkSession Starting Up from RStudio Creating SparkDataFrames From local data frames From Data Sources From Hive tables SparkDataFrame Operations Selecting rows, columns Grouping, Aggregation Operating on Columns Applying User-Defined Function Run a given function on a large dataset using dapply or dapplyCollect dapply dapplyCollect Run a g
é…ã›ã‚‹ãƒ»éš›ç«‹ã¤ãƒ»å½¹ç«‹ã¤ã‚°ãƒ©ãƒ• Hands on!! ggplot2!! ~導入編~
2017/07/30 kazutanRã¸ã®ã‚¨ãƒ³ãƒˆãƒªãƒ¼(抜粋資料)ã§ã™ã€‚ggplot2ã§ã‚レイãªã‚°ãƒ©ãƒ•ã‚’書ãã¾ã—ょã†ã€‚ã‚ã‹ã‚Šã‚„ã™ã•ã€å¦ã³ã‚„ã™ã•å„ªå…ˆã€‚「ã§ãã‚‹ã€ã‹ã‚‰ã€Œã‚ã‹ã‚‹ã€ã®æ–¹å‘ã§ã€çš†æ§˜ã®å¦ã³ã«è²¢çŒ®ã—ã¾ã™ã€‚ã†ãªã©ã‚“。
Rã§ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆæŒ‡å‘ (S3)
Rã«ã¯S3, S4, R5ã®3種類ã®ã‚¯ãƒ©ã‚¹ãŒã‚る。S3ã¯class属性ã§åˆ¤å®šã—ã¦ã„ã‚‹ã ã‘ã®ç·©ã‚„ã‹ãªåž‹ä»˜ã‘。S4ã¯åŽ³æ ¼ã«å®šç¾©ã—ã¦ãŠãå¿…è¦ãŒã‚ã‚‹åŽ³æ ¼ãªåž‹ä»˜ã‘。R5ã¯2.12ã§è¿½åŠ ã•ã‚ŒãŸæ–°ã—ã„クラスã§ã€åŽ³æ ¼ã•ã¯S3ã¨S4ã®ä¸é–“。å‚照渡ã—ã¨ã„ã†å¤§ããªç‰¹å¾´ãŒã‚る。 今回ã¯S3クラスã«ã¤ã„ã¦ã€‚ã¾ã S4, R5ã¯ç†è§£ã—ã¦ã„ãªã„ã—ã€"Google's R Style Guide"ãŒS3を推奨ã—ã¦ã„ã‚‹ã®ã§ã€ã¾ãšã¯S3ã‹ã‚‰å‹‰å¼·ã—ã¦ã„る。Use S3 objects and methods unless there is a strong reason to use S4 objects or methods. Google's R Style GuideS3クラスãŒã§ãã‚‹ã®ã¯ã€class属性ã¨æ±Žç”¨é–¢æ•°ã‚’使ã£ã¦ãƒãƒªãƒ¢ãƒ¼ãƒ•ã‚£ã‚ºãƒ を与ãˆã‚‹ã“ã¨ã€‚ã¤ã¾ã‚Šã€ã‚¯ãƒ©ã‚¹ã”ã¨ã«åŒã˜åå‰ã§ç•°ãªã‚‹å®Ÿè£…ã®é–¢æ•°ã‚’呼ã³å‡ºã›ã‚‹ã€‚printã‚„
🔧Rã§REST APIを作る（plumber編） - cucumber flesh
様々ãªAPIを利用ã—ã¦ã„ã‚‹ã¨ã€æ¬¡ç¬¬ã«è‡ªåˆ†ã§ã‚‚APIを作りãŸããªã‚Šã¾ã›ã‚“ã‹ï¼Ÿ Rã®é–¢æ•°ã‚’利用ã—ã¦HTTP経由ã§ãƒ‡ãƒ¼ã‚¿ã®å—ã‘渡ã—ãŒã§ãã‚‹ã¨å¬‰ã—ã„ã§ã™ã‚ˆãã€‚åŠ ãˆã¦ã€Rã®ä½œå›³æ©Ÿèƒ½ã‚’使ã£ã¦ã€APIã‚’å©ãã ã‘ã§ä½œå›³ã—ã¦ãれるã¨è¶…ãƒãƒƒãƒ”ーã§ã™ã‚ˆã。 å‰ç½®ãも何もãªãå”çªã§ã™ãŒã€{plumber}パッケージを使ã£ã¦ãŠæ‰‹è»½ã«Rã§APIサーãƒãƒ¼ã‚’構築ã§ãるヨã€ã¨ã„ã†è©±ã§ã™ã€‚{plumber}ã¯ã¾ã CRANã«ç™»éŒ²ã•ã‚Œã¦ã„ãªã„ã®ã§ã€åˆ©ç”¨ã™ã‚‹éš›ã«ã¯GitHubã‹ã‚‰é–‹ç™ºç‰ˆã‚’インストールã—ã¦ãã¦ãã ã•ã„。 🤔Rã§APIサーãƒãƒ¼? 「Rã§APIサーãƒãƒ¼ã‚’作るã€ã¨ã„ã†è©±è‡ªä½“ã¯æ˜¨å¹´æœ«ã®Japan.Rã§ã‚´ãƒŸç®±ã•ã‚“ãŒè©±ã•ã‚Œã¦ã„ãŸã®ã§ã™ãŒã€é‹å–¶å´ã ã£ãŸã“ã¨ã‚‚ã‚ã£ã¦ã—ã£ã‹ã‚Šã¨èžã‘ã¦ã„ã¾ã›ã‚“ã§ã—ãŸï¼ˆã“ã®è¨˜äº‹ã‚’書ã“ã†ã¨ã—ã¦ã€ãã†ã„ãˆã°ã‚´ãƒŸç®±ã•ã‚“ãŒRã§APIを作るã€ã¿ãŸã„ãªè©±ã—ã¦ã„ãŸã‚ˆãªã¨ã„ã†ã®ã‚’æ€ã„出ã—ãŸï¼‰ã€‚ゴミ箱ã•ã‚“ã®è©±ã®ä¸ã§ã‚‚{p
Rã®ã‚³ãƒ¼ãƒ‡ã‚£ãƒ³ã‚°ãƒ«ãƒ¼ãƒ«ã«ã¤ã„ã¦
æ¦‚è¦ å‰æ›¸ã - 本ドã‚ュメントã§ã¯ã€Rã®ã‚³ãƒ¼ãƒ‡ã‚£ãƒ³ã‚°è¦ç´„ã«ã¤ã„ã¦æ˜Žè¨˜ã—ã¦ãŠã‚Šã¾ã™ã€‚ - 基本的ã«ã¯ã€Hadley Wickhamã«ã‚ˆã‚‹Style guideã¨google社ã§æ案ã•ã‚ŒãŸè¦ç´„をベースã«ã—ã¾ã™ã€‚ 表記ã«ã¤ã„㦠- パッケージåã¯{}ã§è¡¨è¨˜ - 関数åã¯â€™â€™ã§è¡¨è¨˜ å‚照サイト Advanced R, Google’s R Style Guide, R packages Lint_tool_with_R Rã§ã‚³ãƒ¼ãƒ‡ã‚£ãƒ³ã‚°ã‚¹ã‚¿ã‚¤ãƒ«ã‚’é©ç”¨ã•ã›ã‚‹æ–¹æ³• gepuroæµâ˜†å¤‰æ•°åã®ä»˜ã‘æ–¹ ã”æ„見やã”指摘ãªã© - よりよã„ã‚‚ã®ã«ã—ã¦ããŸã„ã¨æ€ã„ã¾ã™ã€‚ã“ã†ã—ãŸæ–¹ãŒã„ã„ã®ã§ã¯ã¨ã„ã†ã”指摘ãŒã‚ã‚Œã°ã€ã‚³ãƒ¡ãƒ³ãƒˆã‚’よã‚ã—ããŠé¡˜ã„ã„ãŸã—ã¾ã™ã€‚ - 下記ã®ã„ãšã‚Œã‹ã§ã”連絡・ã”å ±å‘Šã„ãŸã ã‘ã¾ã™ã¨åŠ±ã¿ã«ãªã‚Šã¾ã™ã€‚ Twitter, GitHub 環境 開発環境ã¨ã—ã¦RStudioを使ㆠ分æžã”ã¨ã«RStudioã®
sparklyr-cheatsheet - final copy
Data Science in Spark with sparklyr Cheat Sheet Intro sparklyris an R interface for Apache Spark™, it provides a complete dplyr backend and the option to query directly using Spark SQL statement. With sparklyr, you can orchestrate distributed machine learning using either Spark’s MLlib or H2O Sparkling Water. www.rstudio.com sparklyr Data Science Toolchain with Spark + sparklyr fd Import • Export
How to map connections with great circles
There are various ways to visualize connections, but one of the most intuitive and straightforward ways is to actually connect entities or objects with lines. And when it comes to geographic connections, great circles are a nice way to do this. Here’s the technical definition of great circles on Wikipedia: A great circle, also known as a Riemannian circle, of a sphere is the intersection of the sp
dplyrを使ã„ã“ãªã™ï¼åŸºç¤Žç·¨ - Qiita
ã¯ã˜ã‚ã« 4月ã¨ã„ã†ã“ã¨ã§ã€æ–°å’ãŒå…¥ã£ã¦ããŸã‚ŠRを使ã£ãŸã“ã¨ãªã„メンãƒãƒ¼ãŒJOINã—ãŸã‚Šã—ãŸã®ã§ã€ 超便利ãªdplyrã®ä½¿ã„方を何回ã‹ã«åˆ†ã‘ã¦ã¾ã¨ã‚ã¦è¡Œãã¾ã™ã€‚ Rã¯çŸ¥ã‚‰ãªã„ã‘ã©ã€SQLã¨ã‹ä»–ã®ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã¯ã‚る程度やã£ãŸã“ã¨ã‚ã‚‹ã¿ãŸã„ãªäººå‘ã‘ã§ã™ã€‚ dplyrを使ã„ã“ãªã™ï¼ã‚·ãƒªãƒ¼ã‚º 基礎編以外も書ãã¾ã—ãŸã®ã§ã€â†“ã‹ã‚‰ã©ã†ãžã€‚ dplyrを使ã„ã“ãªã™ï¼Window関数編 dplyrを使ã„ã“ãªã™ï¼JOINç·¨ dplyrã¨ã¯ データフレームã®æ“作ã«ç‰¹åŒ–ã—ãŸãƒ‘ッケージã§ã™ã€‚ Rã¯åŸºæœ¬çš„ã«å‡¦ç†é€Ÿåº¦ã¯ã‚ã¾ã‚Šæ—©ããªã„ã§ã™ãŒã€dplyrã¯C++ã§æ›¸ã‹ã‚Œã¦ã„ã‚‹ã®ã§ã‹ãªã‚Šé«˜é€Ÿã«å‹•ä½œã—ã¾ã™ã€‚ ソースã®å¯èªæ€§ã‚‚よããªã‚‹ã®ã§ã€å®—教上ã®ç†ç”±ã§ç¦æ¢ã•ã‚Œã¦ã„る人以外ã¯ä½¿ã†ãƒ¡ãƒªãƒƒãƒˆã¯å¤§ãã„ã§ã™ã€‚ 処ç†å¯èƒ½ãªãƒ‡ãƒ¼ã‚¿ã‚µã‚¤ã‚ºã®ç›®å®‰ ã‚ãã¾ã§ã‚‚個人ã®ç’°å¢ƒã«å¼·ãä¾å˜ã—ãŸæ„Ÿè¦šå€¤ã§ã™ãŒã€1000万行ã€100MBãらã„ã®ãƒ‡ãƒ¼ã‚¿ã‚µã‚¤
HOXO-M - anonymous data analyst group in Japan -
We are "HOXO-M" anonymous data analysis and R user group in Japan!!! What is inconvenience of for loops in R? It is that results you get will be gone away. So we have created a package to store the results automatically. To do it, you only need to cast one line spell magic_for(). In this text, we tell you about how to use the magic. 1. Overview for() is one of the most popular functions in R. As y
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GitHub - quanteda/spacyr: R wrapper to spaCy NLP
R and the web (for beginners), Part II: XML in R | R-bloggers
Sentiment Analysis with openNLP & tm
Installing R packages | R-bloggers
Setup ODBC for R on OS X
Problem with Plots or Graphics Device in the RStudio IDE – RStudio Support
R on RHEL 7 in AWS
Posit
Smile. Tomorrow will be worse. - AABBDD
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