Northwest Environmental Training Center (NWETC)

Visualizing and Analyzing Environmental Data with R

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This course is designed for participants who wish to gain beginning to intermediate skills in using R for manipulating, visualizing and analyzing their environmental data.  R is a comprehensive statistical programming language that is cooperatively developed on the Internet as an open source project. This freely available statistical package R is a powerful tool and is projected to become the most widely used statistical software.

Course Topics

 

  • Installing R and R libraries
  • Reading and writing data (read(), write()) and viewing R data sets
  • Creating  new variables and recoding or renaming variables
  • Manipulating data (order(), merge(), aggregate(), t(), which())
  • Summarizing data (sapply(), summary(), table(), xtabs())
  • Visualizing data (par(), plot(),hist(), points(), line(), barplot(), pie(), boxplot())
  • Statistical analysis (cor(), t.test(), lm() and regression diagnostics)
  • R programming basics (program control and user defined functions)

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