Please read and follow these instructions in order to try these past workshops on your own.

Linear regression in depth

  • Details: A detailed look at the most common and powerful statistical technique.
  • When: April 12, 2017, 01:00 PM (may change)
  • Where: FG423
  • Notes: Code and notes are online here.
  • Video: Session was recorded and is on YouTube.

Data Wrangling in R

  • Details: Learn to wrangle (aka 'manipulate') your data easily.
  • When: March 29, 2017, 01:00 PM (may change)
  • Where: FG423
  • Package(s) to install: install.packages(c("dplyr", "tidyr"))

Reproducible and dynamic manuscripts/theses in R

  • Details: Learn how to use RStudio to write up your next paper or thesis.
  • When: March 15, 2017, 01:00 PM (may change)
  • Where: FG423
  • Package(s) to install: install.packages(c("rmarkdown", "knitr", "captioner"))

Principles of effective data visualization (using R)

  • Details: Learn how to best plot your data (applicable to most other graphic software).
  • When: March 01, 2017, 01:00 PM (may change)
  • Where: FG423
  • Package(s) to install: install.packages("ggplot2")
  • Notes: Code and notes are online here.
  • Video: Session was recorded and is on YouTube.

Process your raw data into useable data in R

  • Details: Learn to use R programming to convert your raw data into analyzable data.
  • When: February 15, 2017, 01:00 PM (may change)
  • Where: FG423
  • Package(s) to install: install.packages("readr")
  • Notes: Code and notes are online here.
  • Video: Session was recorded and is on YouTube.

Organizing and simplifying code using functions

  • Details: Come learn how to make your code reusable and easier to use with functions.
  • When: February 01, 2017, 01:00 PM (may change)
  • Where: FG423
  • Notes: Code and notes are online here.
  • Video: Session was recorded and is on YouTube.

Principles of managing and analyzing data

  • Details: Learn the principles of managing data from storing to analyzing. No coding this session.
  • When: January 18, 2017, 01:00 PM (may change)
  • Where: FG423
  • Notes: Code and notes are online here.
  • Video: Session was recorded and is on YouTube.

Reproducible and dynamic manuscripts/theses in R

  • Details: Learn how to use RStudio to write up your next paper or thesis.
  • When: November 30, 2016, 01:00 PM (may change)
  • Where: FG423
  • Package(s) to install: install.packages(c("rmarkdown", "knitr", "captioner"))
  • Notes: Code and notes are online here.
  • Video: Session was recorded and is on YouTube.

Data Wrangling in R

  • Details: Learn to wrangle (aka 'manipulate') your data easily.
  • When: November 09, 2016, 01:00 PM (may change)
  • Where: FG423
  • Package(s) to install: install.packages(c("dplyr", "tidyr"))
  • Notes: Code and notes are online here.
  • Video: Session was recorded and is on YouTube.

Data visualization in R using ggplot2

  • Details: Learn to plot your data into beautiful, publication-ready figures.
  • When: October 26, 2016, 01:30 PM (may change)
  • Where: FG423
  • Package(s) to install: install.packages("ggplot2")
  • Notes: Code and notes are online here.

Basic statistics and R commands

  • Details: Learn about common R and statistic commands.
  • When: October 14, 2016, 01:00 PM (may change)
  • Where: FG423
  • Package(s) to install: install.packages("broom")
  • Notes: Code and notes are online here.
  • Video: Session was recorded and is on YouTube.

Brief introduction to using R and RStudio

  • Details: Learn how to navigate RStudio and how to use R.
  • When: September 29, 2016, 01:00 PM (may change)
  • Where: FG320
  • Notes: Code and notes are online here.

Data visualization in R using ggplot2

  • Details: Learn to plot your data into beautiful graphics!
  • When: June 30, 2016, 03:00 PM (may change)
  • Where: FG423
  • Package(s) to install: install.packages("ggplot2")
  • Notes: Code and notes are online here.

Tidy data and importing your data in R

  • Details: Learn how to store your data in a tidy format to easily import it into R! Bring your own data!
  • When: June 16, 2016, 03:00 PM (may change)
  • Where: FG423
  • Package(s) to install: install.packages("readr")
  • Notes: Code and notes are online here.
  • Video: Session was recorded and is on YouTube.

Interacting with R using RStudio and project layouts

  • Details: Get familiar with using RStudio and structuring your projects!
  • When: May 26, 2016, 03:00 PM (may change)
  • Where: FG423