Corporate Training By Zack Academy - Visualizing and Analyzing Environmental Data with R

Why Should You Take This Visualizing and Analyzing Environmental Data with R course?

This Visualizing and Analyzing Environmental Data with R 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.

This class is taught using real-world environmental data sets and is hands-on using instructor-led examples. It is applicable to anyone that conducts environmental monitoring or uses environmental data for research, management, or policy-making and is recommended for anyone needing to become proficient with R basics.  Being proficient in R will help participants be competitive in their chosen fields.

After completing this course attendees will be able to:

• Understand the uses of R for working with environmental data
• Installing R and R libraries
• Import  and export data from a range of sources including Excel and Access
• Sorting, merging, and aggregating, subsetting, and converting data
• Query and display data and generate basic data summaries
• Create a variety of high quality data visualization graphics
• Perform common statistical tests including t-tests, ANOVA, and  linear models
• Develop basic scripts to automate and document procedures and analyses

Prerequisites:

Familiarity with basic statistical concepts and methods as used in the natural and social sciences. 

Intended Audience:

This course is beneficial for anyone desiring to become proficient in the basics of data manipulation, high quality plotting and graphing, and data summary and statistical analyses using R; researchers, students, data analysts, etc. 

Topics To Be Covered Include:

• 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)

What to Bring to Class:  Pen or pencil, and paper if you do not want to take notes in your manual. Drinks and snacks will be provided each day. Lunch will be on your own.