The continuation of previous publications “DataScience Tools as an Alternative to the Classical Integration of IT Systems” and
"Ecosystem R as a tool for automating business tasks . "
This article is an answer to your questions about the R packages, which are useful for implementing the described approaches. I consider it solely as background information, and a starting point for further detailed study by those interested, since behind each package there is a huge space with its own philosophy and ideology, mathematics and ways of development.

As a rule, all packages (9109 items as of 09/07/2016) are in the CRAN repository. Those that, for whatever reason, have not yet been published to the repository, can be found on GitHub. So, a short list:

Hadley Wickham Packs ( Hadleyverse )

Details about the packages can be read on the GitHub repository.

• dplyr - extensions of grammatical structures for data manipulation. As an introductory article, I would advise "dplyr and pipes: the basics" , despite the fact that it was published in 2014
• ggplot2 - extensions of grammatical constructions for visualization. An idea of ​​the possibilities can be obtained in the book "Cookbook for R", chapter "Graphs"
• scales - ggplot2 extension for scaling graph axes
• ggmap - ggmap extension for working with cartography
• lubridate - the "magic" of working with dates and time. Ideology is described in the article "Dates and Times Made Easy with lubridate"
• readr - improved import of text data in R
• forcats - improved work with categorical variables
• tibble - a modern rethinking of the data structure data.frame
• readxl - import excel data in R
• purrr - extensions of grammatical structures for functional programming
• tidyr - improved work with dirty source data. Ideology is described in the article "Tidy Data"
• reshape2 - improved data transformation. Ideology is described in the article "Reshaping Data with the reshape Package"
• stringr - improved work with text strings
• curl - an improved approach to working with data over HTTP
• httr - a simplified approach to working with data using the http protocol
• xml2 - improved XML support

Elements of programming and working with data

• futile.logger - developed logging system
• iterators - iterator support
• foreach - improved support for looping
• magrittr - grammar of data routing (pipe)
• jsonlite - simplified JSON support
• sp - support for working with geodata
• data.table - extension of the regular data model of data.frame for working with big data
• broom - stat data conversion. functions in tidy data format (see above). Details can be found in the article broom: An R Package for Converting Statistical Analysis Objects Into Tidy Data Frames
• knitr - preparation of documents of various formats (static and interactive, more detailed here ) from a single R Markdown format. In general, it is generally a separate world.

Shiny and web forms

• shiny - the framework itself
• shinythemes - additional themes (shiny built on bootstrap)
• highcharter wrapper for highcharts
• googleVis - connector to google charts charts. More details here and here
• shinydashboard - feature sets for building dashboards (a bit outdated)
• flexdashboard is a modern approach to building dashboards. Details can be found here.
• shinyjs - optional JS interactive
• htmlwidgets - support for html widgets, gallery here
• plotly - interface to the interactive visualization system Plot.ly. Details can be found here.
• leaflet - a wrapper for interactive JS leaflet maps. Details can be found here.
• DT is a wrapper for interactive JS DataTable tables. Details can be found here.
• rbokeh - R interface to the library of visualization Bokeh. Details can be found here.

Colors and themes

• RColorBrewer - flexible package for working with colors
• viridis - Virdis color palette. Details here
• wesanderson - more palette
• ggthemes - themes for ggplot2. Details here

In my work, I still use 2-3 dozen other packages, but they have narrower specifics, or just provide connections to external sources (ODBC, No-SQL, git, dropbox, etc.)

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