Difference between revisions of "R"

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Paket GNU, source code untuk lingkungan perangkat lunak R ditulis terutama di C, Fortran dan R sendiri dan tersedia secara gratis di bawah GNU General Public License. Versi biner pre-compiled disediakan untuk berbagai sistem operasi. Meskipun R hanya menggunakan command line interface, ada beberapa antarmuka pengguna grafis, seperti RStudio, lingkungan pengembangan terintegrasi.
 
Paket GNU, source code untuk lingkungan perangkat lunak R ditulis terutama di C, Fortran dan R sendiri dan tersedia secara gratis di bawah GNU General Public License. Versi biner pre-compiled disediakan untuk berbagai sistem operasi. Meskipun R hanya menggunakan command line interface, ada beberapa antarmuka pengguna grafis, seperti RStudio, lingkungan pengembangan terintegrasi.
  
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==Referensi==
 +
 +
* https://r.analyticflow.com/en/ -- '''R Rasa Orange'''
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* http://www.rexamples.com/
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* http://www.sthda.com/english/articles/32-r-graphics-essentials/
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* https://www.tidytextmining.com/
  
 
==Pranala Menarik==
 
==Pranala Menarik==
  
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* [[R: Install di Ubuntu 18.04]]
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* [[R: Install di Ubuntu 20.04]]
 
* [[R: Install di Ubuntu]]
 
* [[R: Install di Ubuntu]]
 
* [[R: Install java]]
 
* [[R: Install java]]
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* [[R: ls dan ls.str untuk melihat daftar variable dan isinya]]
 
* [[R: ls dan ls.str untuk melihat daftar variable dan isinya]]
 
* [[R: garbage cleanup]]
 
* [[R: garbage cleanup]]
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* [[R: sort]]
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===Data===
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* [[R: Dataset]]
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* [[R: data]]
 
* [[R: Melihat Informasi dari data set]]
 
* [[R: Melihat Informasi dari data set]]
* [[R: sort]]
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* [[R: Import]]
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* [[R: Export]]
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===R Studio===
  
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* https://gist.github.com/ElToro1966/999f1c8ca51a75648dd587a3170e4335
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* http://web.cs.ucla.edu/~gulzar/rstudio/basic-tutorial.html
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* [[RStudio: Install]]
  
 
===File Processing===
 
===File Processing===
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* [[R: readtext]]
 
* [[R: readtext]]
 
* [[R: read PDF]]
 
* [[R: read PDF]]
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* [[R: read CSV]]
 
* [[R: Read File]]
 
* [[R: Read File]]
 
* [[R: multiread file]]
 
* [[R: multiread file]]
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* [[R: term frequency tf dan inverse document frequency idf]]
 
* [[R: term frequency tf dan inverse document frequency idf]]
 
* [[R: ngram word clouds]]
 
* [[R: ngram word clouds]]
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* [[R: spam classification]]
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 +
====Referensi====
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* https://tm4ss.github.io/docs/Tutorial_2_Read_data_Zipf.html
  
 
===TidyText Processing===
 
===TidyText Processing===
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 +
Ref: https://github.com/dgrtwo/tidy-text-mining
  
 
tidy data has a specific structure:
 
tidy data has a specific structure:
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* [[R: tidytext NASA data]]
 
* [[R: tidytext NASA data]]
 
* [[R: tidytext analisa twitter]]
 
* [[R: tidytext analisa twitter]]
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* [[R: tidytext: tidytext]]
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* [[R: tidytext: tidytext hgwells]]
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* [[R: tidytext: bronte]]
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* [[R: tidytext: compare text]]
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* [[R: tidytext: tweet trump]]
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* [[R: tidytext: sentiment analysis basic]]
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* [[R: tidytext: sentiment comparing the three sentiment dictionaries]]
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* [[R: tidytext: sentiment Most common positive and negative words]]
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* [[R: tidytext: sentiment wordcloud]]
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* [[R: tidytext: tf-idf Jane Austen novels]]
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* [[R: tidytext: tf-idf corpus of physics texts]]
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* [[R: tidytext: word-combinations Tokenizing by n-gram]]
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* [[R: tidytext: document-term-matrices-mining financial articles]]
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* [[R: tidytext: topic-modelling]]
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===Bayesian===
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* http://www.bnlearn.com/
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* https://www.r-bloggers.com/text-message-classification/
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* https://www.r-bloggers.com/bayesian-network-in-r-introduction/
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* https://cran.r-project.org/web/packages/BayesianNetwork/vignettes/BayesianNetwork.html
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* http://www.di.fc.ul.pt/~jpn/r/bayesnets/bayesnets.html
  
 
===Time Series===
 
===Time Series===
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* [[R: Rserve]]
 
* [[R: Rserve]]
 
* [[R: ARDUINO dengan RServe]]
 
* [[R: ARDUINO dengan RServe]]
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* [[R: Stock Prices Prediction Using Machine Learning and Deep Learning Techniques with Python codes]]
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 +
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===Regression Analysis===
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* [[R Regression: Dataset]]
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* [[R Regression: Simple Linear Regression]]
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* [[R Regression: Linear Regression]]
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* [[R Regression:  Categorical Variables]]
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* [[R Regression: multicollinearity essentials and vif]]
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* [[R Regression: stepwise regression essentials]]
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* [[R Regression: penalized regression essentials ridge lasso elastic.net]]
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* [https://www.youtube.com/watch?v=66z_MRwtFJM YOUTUBE: Simple Linear Regression in R]
  
==Referensi==
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===Machine Learning===
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* [[R ML: Load Dataset]]
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* [[R Regression: Logistic Regression]]
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* [https://www.youtube.com/watch?v=C4N3_XJJ-jU YOUTUBE: Logistic Regression in R]
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* [https://www.youtube.com/watch?v=SeyghJ5cdm4 YOUTUBE: Machine Learning with R]
 +
 
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===Graphics===
  
* https://www.tidytextmining.com/
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* [[R Plot: Basics]]
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* [[R Plot: multiple time series data]]
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* [[R Plot: ggplot2 extensions for ts objects]]
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* [https://www.youtube.com/watch?v=SjcUlHh3UJg YOUTUBE: Introduction to Plotting in R]
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* [https://www.youtube.com/watch?v=Z3V4Pbxeahg YOUTUBE: How to plot multiple graphs in R]

Latest revision as of 12:50, 10 May 2020

R adalah bahasa pemrograman dan lingkungan perangkat lunak bebas untuk komputasi statistik dan grafik yang didukung oleh R Foundation for Statistical Computing. Bahasa R banyak digunakan di kalangan ahli statistik dan data miner untuk mengembangkan perangkat lunak statistik dan analisis data. Jajak pendapat, survei penambangan data dan studi basis data literatur ilmiah, menunjukkan peningkatan popularitas yang cukup besar dalam beberapa tahun terakhir. Pada Agustus 2018, R peringkat ke-18 dalam indeks TIOBE, ukuran popularitas bahasa pemrograman.

Paket GNU, source code untuk lingkungan perangkat lunak R ditulis terutama di C, Fortran dan R sendiri dan tersedia secara gratis di bawah GNU General Public License. Versi biner pre-compiled disediakan untuk berbagai sistem operasi. Meskipun R hanya menggunakan command line interface, ada beberapa antarmuka pengguna grafis, seperti RStudio, lingkungan pengembangan terintegrasi.

Referensi

Pranala Menarik

Data

R Studio

File Processing

Text Processing

Referensi

TidyText Processing

Ref: https://github.com/dgrtwo/tidy-text-mining

tidy data has a specific structure:

  • Each variable is a column
  • Each observation is a row
  • Each type of observational unit is a table

Bayesian

Time Series


Regression Analysis

Machine Learning

Graphics