Index
A
B
C
- callback URL / How it works...
- character_wise search
- chunk options
- code
- code performance
- Code School / There's more...
- cohort analysis
- Colors in R
- communities
- CSS selector / Getting ready
- customers retention
- custom objects and methods, R
D
- data
- format / Introduction
- license / Introduction
- acquiring, from Web / Acquiring data from the Web – web scraping tasks, Getting ready, How to do it..., There's more...
- getting fromTwitter, twitteR package used / Getting data from Twitter with the twitteR package, How to do it…, There's more...
- getting from Facebook, Rfacebook package used / Getting data from Facebook with the Rfacebook package, How to do it...
- getting, from Google Analytics / Getting data from Google Analytics, How to do it..., There's more...
- loading into R, with rio packages / Loading your data into R with rio packages, How it works..., There's more...
- cleansing / Introduction
- manipulating / Introduction
- preparing for anyalysis, tidyr package used / Preparing your data for analysis with the tidyr package, How it works..., There's more...
- displaying, with plot() function / Looking at your data using the plot() function, Getting ready, How to do it..., How it works...
- data filtering activities
- data structure
- degree
- DiagrammeR package
- dynamic force network
- dynamic parametrized reports
- dynamic UI
F
G
- geom_text() function
- ggmap
- ggplot2 plot
- Git
- GitHub
- Google Analytics
- Google Query explorer
- Grammar of Graphics
H
I
L
M
N
O
P
- pairs.panels()function
- parallel computation
- PDF documents
- PDF reports, folder
- pdftotext
- plot() function
- plots
- Portfolio Analytics package
- profvis package
Q
R
- R
- used, for accessing API / Accessing an API with R, Getting ready, How to do it…, How it works..., There's more...
- parallel computation, implementing / Implementing parallel computation in R, How it works..., There's more...
- custom objects and methods, creating with S3 system / Creating custom objects and methods in R using the S3 system, How to do it..., How it works...
- ramazon
- RColorBrewer package
- recommendation engine
- regular expressions
- repository / Using GitHub with RStudio
- results sharing phase / Introduction
- Revolution Analytics
- Rfacebook package
- Rio
- rio package
- rio packages
- Rio vignette
- rmarkdown
- R Markdown
- rmarkdown-website
- rotating 3D graph
- route() function, arguments
- R programming language
- RPubs
- Rstudio
- RStudio
- URL / There's more..., See also, Deploying your app on Amazon AWS with ramazon
- modular code, writing / Writing modular code in RStudio, How to do it..., How it works...
- GitHub, using with / Using GitHub with RStudio, Getting ready, How to do it...
- used, for styling PDF documents / Writing and styling PDF documents with RStudio, Getting ready, How to do it...
- used, for writing PDF documents / Getting ready, How to do it...
- blog, curating through / Curating a blog through RStudio, How to do it...
- RStudio add-ins
- rvest
S
- S3 system
- Sankey diagram
- SelectorGadget / Getting ready
- setup chunk / How it works...
- Shell / How to do it...
- Shiny app
- single file Shiny app, developing / Developing a single-file Shiny app, How to do it…, How it works…, See also
- user interface (UI) / How it works…
- server logic / How it works…
- framework, reactivity / How it works…
- UI changing, based on user inputs / Changing a Shiny app UI based on user input, Getting ready, How to do it..., See also
- URL / See also
- gallery, URL / See also
- used, for creating interactive report / Creating an interactive report with Shiny, How to do it…, How it works...
- tutorial, URL / Getting ready
- Shiny framework / Using the DiagrammeR package to produce a process flow diagram in RStudio
- single-file Shiny app
- slides
- stl() function
- stock market
- stock movements
- stock parameter / How it works…
T
- task view
- Texlive
- text
- Tidy data
- tidyr package
- time series decomposition
- time series forecasting
- tm package
- tufte handouts
- tufte package
- Twitter
- twitteR package
- Twitter sentiment analysis
U
V
- variables
- visNetwork package
W
Y
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