R Library

R Workspace

The Workspace: http://www.statmethods.net/interface/workspace.html

Hadley

• R 4 Data Science: http://r4ds.had.co.nz/
• Advanced R: https://adv-r.hadley.nz/
• http://stat545.com/bit001_dplyr-cheatsheet.html
• Writing Packages: http://r-pkgs.had.co.nz/

RStudio Server

https://www.r-bloggers.com/setting-up-a-datascience-server/

Visualization (Graphing and Plotting and Mapping and Dashboarding)

Graphing & Plotting:

• https://www.ggplot2-exts.org/gganimate.html
• http://motioninsocial.com/tufte/?utm_content=bufferc1618&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
• https://briatte.github.io/ggcorr/
• https://journal.r-project.org/archive/2013-1/kahle-wickham.pdf
• https://plot.ly/feed/
• https://plotly-book.cpsievert.me/index.html - book on Plotly and R
• https://www.r-graph-gallery.com/
• Radial: http://rstudio-pubs-static.s3.amazonaws.com/72298_c1ba7f77276a4f27a0f375cadc9fac5d.html

Mapping & Cartography:

• Census

  • ACS
  • Package: http://eglenn.scripts.mit.edu/citystate/wp-content/uploads/2013/06/wpid-working_with_acs_R3.pdf
  • https://www.r-bloggers.com/how-to-search-for-census-data-from-r/
  • https://rudeboybert.github.io/MATH216/jekyll/update/2016/11/02/HW-4.html

• Mapping

  • Simple Features (sf) - https://cran.r-project.org/web/packages/sf/vignettes/sf1.html
  • https://cran.r-project.org/web/packages/tmap/vignettes/tmap-nutshell.html
  • http://eriqande.github.io/rep-res-web/lectures/making-maps-with-R.html

• Spacial Analysis

  • https://www.zevross.com/
  • https://rpubs.com/ajlyons/rspatialdata

Dashboards:

• http://lenkiefer.com/2017/01/16/cross-talk-dashboard/

Spark

• https://spark.apache.org/docs/latest/sparkr.html#starting-up-from-rstudio

• https://spark-packages.org/

• https://blog.rstudio.org/2016/09/27/sparklyr-r-interface-for-apache-spark/

• Installing on Windows:

  • https://jaceklaskowski.gitbooks.io/mastering-apache-spark/content/spark-tips-and-tricks-running-spark-windows.html

• http://blog.danielemaasit.com/2015/07/26/installing-and-starting-sparkr-locally-on-windows-8-1-and-rstudio/

• So far:

  • Environmental Variables: added
    • R_HOME :
    • JAVA_HOME :
    • SPARK_HOME :
    • HADOOP_HOME :
    • WINUTIS_HOME :
      • https://github.com/steveloughran/winutils

• ODBC/JDBC:

  • https://jaceklaskowski.gitbooks.io/mastering-apache-spark/content/spark-sql-thrift-server.html

Bayesian R

• Bayes Rules! An Introduction to Applied Bayesian Modeling: https://www.bayesrulesbook.com/

Econometrics

• Econometrics with R: https://www.econometrics-with-r.org/
• Heckman Selection: https://cran.r-project.org/web/packages/sampleSelection/vignettes/selection.pdf

Machine Learning

• Twitter Kmeans
  • http://thinktostart.com/cluster-twitter-data-with-r-and-k-means/
  • https://cran.r-project.org/web/packages/caret/vignettes/caret.pdf

Tutorials

UC-R: UCLA: https://stats.idre.ucla.edu/r/seminars/ggplot2_intro/

Databases

• R and SQLite: Part 1: https://www.r-bloggers.com/r-and-sqlite-part-1/
• R and SpaciaLite: http://www.gaia-gis.it/gaia-sins/spatialite-cookbook/index.html#toc
• http://www.gaia-gis.it/gaia-sins/
• R and Hive JDBC: https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients#HiveServer2Clients-JDBC
• R and Googlesheets: http://shiny.rstudio.com/articles/persistent-data-storage.html
• R and Teradata: https://developer.teradata.com/blog/odbcteam/2016/02/r-with-teradata-odbc

RAM Memory

• https://stat.ethz.ch/R-manual/R-devel/library/utils/html/memory.size.html

Library and Package management

• https://www.stat.osu.edu/computer-support/mathstatistics-packages/installing-r-libraries-locally-your-home-directory

Rprofile and R Environmental variables ( related to Library Management above )

• https://csgillespie.github.io/efficientR/3-3-r-startup.html

Docker

• https://ropenscilabs.github.io/r-docker-tutorial/
• Container Package: https://o2r.info/2017/05/30/containerit-package/
• https://www.codeguru.com/csharp/csharp/cs_internet/using-r-with-docker-engine.html#Item4
• https://www.rocker-project.org/
• https://www.symbolix.com.au/blog-main/r-docker-hello
• EntryPoint vs. CMD: http://goinbigdata.com/docker-run-vs-cmd-vs-entrypoint/

Writing Packages

• No. 1 - Hadleys book bove:
• Looks like a nice resource: https://kbroman.org/pkg_primer/
  • Great layman explanation of software licenses: MIT vs. GPL