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100 “must read” R-bloggers’ posts for 2015

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By Tal Galili

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The site R-bloggers.com is now 6 years young. It strives to be an (unofficial) online news and tutorials website for the R community, written by over 600 bloggers who agreed to contribute their R articles to the website. In 2015, the site served almost 17.7 million pageviews to readers worldwide.

In celebration to R-bloggers’ 6th birth-month, here are the top 100 most read R posts written in 2015, enjoy:

  1. How to Learn R
  2. How to Make a Histogram with Basic R
  3. How to Make a Histogram with ggplot2
  4. Choosing R or Python for data analysis? An infographic
  5. How to Get the Frequency Table of a Categorical Variable as a Data Frame in R
  6. How to perform a Logistic Regression in R
  7. A new interactive interface for learning R online, for free
  8. How to learn R: A flow chart
  9. Learn Statistics and R online from Harvard
  10. Twitter’s new R package for anomaly detection
  11. R 3.2.0 is released (+ using the installr package to upgrade in Windows OS)
  12. What’s the probability that a significant p-value indicates a true effect?
  13. Fitting a neural network in R; neuralnet package
  14. K-means clustering is not a free lunch
  15. Why you should learn R first for data science
  16. How to format your chart and axis titles in ggplot2
  17. Illustrated Guide to ROC and AUC
  18. The Single Most Important Skill for a Data Scientist
  19. A first look at Spark
  20. Change Point Detection in Time Series with R and Tableau
  21. Interactive visualizations with R – a minireview
  22. The leaflet package for online mapping in R
  23. Programmatically create interactive Powerpoint slides with R
  24. My New Favorite Statistics & Data Analysis Book Using R
  25. Dark themes for writing
  26. How to use SparkR within Rstudio?
  27. Shiny 0.12: Interactive Plots with ggplot2
  28. 15 Questions All R Users Have About Plots
  29. This R Data Import Tutorial Is Everything You Need
  30. R in Business Intelligence
  31. 5 New R Packages for Data Scientists
  32. Basic text string functions in R
  33. How to get your very own RStudio Server and …read more

    Source:: r-bloggers.com


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