Category: R

ARCHIVE: S19 R Workshop

To complete the contents of the day-long R workshop offered on June 11, 2019, we will work through the following sessions:

  1. R Workshop:  Introduction to R and Definitions
  2. R Workshop:  Introduction to RStudio and R packages
  3. R Workshop:  Cleaning and Tidying your data
  4. R Workshop:  Getting the data in, merging files, and creating new variables
  5. R Workshop:  Getting comfortable with your data:  Descriptive statistics, Normality, and Plotting
  6. R Workshop:  ANOVA / Partitioning of Variance with an RCBD

ARCHIVE: S19 Workshops

A couple of workshops are now available for booking.  I will be hosting 2  1-day long workshops in June.  June 4 will be a 1-day SAS workshop followed by a 1-day R workshop on June 11.  The workshops will be held in ANNU Rm 102 starting at 9am and ending the latest by 4pm.

Please register for the one(s) you would like to attend by visiting https://oacstats_workshops.youcanbook.me/.    Please note you will need to bring a laptop with the software already installed.  If you do not have the software, you may watch the demos – however, I will not be able to help you with any software installations.

June 4 – SAS:  We will begin by touring the different versions of the SAS program that are available to us on campus.  Our next stop will be getting data into SAS, followed by some descriptive statistics. We will then move onto Regression and ANOVAs, and if time premits PCA and/or Factor analysis.  If you have a particular analysis in mind that you would like to work through in SAS, please let me know beforehand – email oacstats@uoguelph.ca.

June 11- R/RStudio:  We will again begin our tour with RStudio and discuss the merits and challenges of using the R software.  We will then work through a number of ways to get the data into RStudio, followed by some descriptive statistics and data visualization options.  We will move onto Regression and ANOVAs, and if time permits we will try our hand at some on-demand analyses.  If you have a particular analysis in mind that you would like to work through in R, please let me know beforehand – email oacstats@uoguelph.ca.

ARCHIVE: W19 – R Workshops

March 20 – ANOVA in R

  1. R: ANOVAs with an RCBD

March 6 – Wrangling and Visualizing data in R

  1. R: Getting comfortable with your data – Descriptive statistics, Normality, and Plotting

January 30 – Introduction to R

  1. R: Introduction to R and Definitions
  2. R: Introduction to RStudio and R packages
  3. R: Getting the data in, merging files, and creating new variables

ARCHIVE: W19 Workshops

The W19 lineup of workshops are now available for viewing and for registration.  Please note that the workshops will all be held on Wednesday mornings from 9-11am in the Crop Science Building – Rm 121A.  Please review the list of workshops and visit the online registration page to sign up for the workshops that you are interested in.

  • January 9, 2019: Managing your Research Data – Collecting your data, getting it organized and ready for statistical analysis.
  • January 16, 2019: Managing your Research Data – Storing your data, backing it up, and future access.
  • January 23, 2019: SAS- Introduction and Getting Comfortable with the interface and your data
  • January 30, 2019: R – Introduction and Getting Comfortable with the interface and your data
  • February 6, 2019: SPSS – Introduction and Getting Comfortable with the interface and your data
  • February 27, 2019: SAS- Wrangling and Visualizing your data
  • March 6, 2019: R- Wrangling and Visualizing your data
  • March 13, 2019: SAS- Overview of GLIMMIX – Mixed model analysis and Regression
  • March 20, 2019: R- Overview of aov(), lmer(), nlme() – Mixed model analysis and Regression
  • March 27, 2019: SAS- Special topics – please send requests
  • April 3, 2019: SAS- Special topics- please send requests

Have a great holiday break and hope to see you in the New Year!

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