Course
Graphics in Base R
Ended Feb 20, 2019
2 credits
Full course description
<!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}-->The ability to create professional grade graphics is of key importance for scientific communication. The R programming package offers a powerful, flexible, and free platform which can be used to produce publication-quality graphics. The following topics will be covered:
• Producing statistical graphs including histograms, bar plots, box plots, and scatter plots using basic R
• Syntax to control colors, plotting characters, axes, legends, and labels
• Creating high resolution graphics to various file types
• Pros and cons of various graphics and approaches
Attend this course on [date] from [time] in [location]. No previous coding experience is required! Bring your laptop with R and RStudio installed on your machine. You can download them from the following links:
https://www.r-project.org/
https://www.rstudio.com/products/rstudio/download/
If you already have R and RStudio on your laptop, make sure they are the most up to date versions.
This course is jointly sponsored by the Statistical Application and Innovations Group (SAIG) and Networked Learning Initiatives (NLI).
• Producing statistical graphs including histograms, bar plots, box plots, and scatter plots using basic R
• Syntax to control colors, plotting characters, axes, legends, and labels
• Creating high resolution graphics to various file types
• Pros and cons of various graphics and approaches
Attend this course on [date] from [time] in [location]. No previous coding experience is required! Bring your laptop with R and RStudio installed on your machine. You can download them from the following links:
https://www.r-project.org/
https://www.rstudio.com/products/rstudio/download/
If you already have R and RStudio on your laptop, make sure they are the most up to date versions.
This course is jointly sponsored by the Statistical Application and Innovations Group (SAIG) and Networked Learning Initiatives (NLI).