Ghement Statistical Consulting Company Ltd.
|Home > Training > Elegant statistical graphics with R and ggplot2 - May 29 and 30, 2014|
Elegant statistical graphics with R and ggplot2 - May 29 and 30, 2014
We are pleased to announce the hands-on course "Elegant statistical graphics with R and ggplot2" on Thursday and Friday, May 29 and 30, 2014. On both days, the course will take place between 8:30am and 5:00pm at the British Columbia Institute of Technology (BCIT), 555 Seymour Street, Vancouver, B.C., Canada. (This workshop is not affiliated with BCIT.) This course is ideal for participants who are relatively new to R as well as R users who wish to expand their proficiency in R by creating informative statistical graphics.
What is R?
R is a free, open-source software package with extensive statistical computing and graphics capabilities, which can be used to explore and analyze data. In addition to providing a comprehensive suite of conventional statistical tools, R has many freely available add-in packages which can be used to carry out more specialized statistical tasks. More information on R can be found on the website www.r-project.org. A user-friendly interface to R can be downloaded from www.rstudio.org.
The open-source statistical software package R comes equipped with several packages for producing elegant graphics, and ggplot2 is one of the most powerful and versatile of these packages. This two-day course will provide participants with an in-depth introduction to ggplot2 in the context of graphics production for exploratory and confirmatory data analyses. Participants will learn how to use ggplot2 to produce, customize, and export publication-quality graphics that facilitate the communication of data-driven insights. In particular, participants will gain an understanding of the ggplot2 philosophy, syntax, and capabilities; learn how to create standard and advanced statistical graphs; and become skilled at customizing graphs through the addition of labels, titles, symbols, colors, legends, scales, annotations, layers, and themes. Participants also will learn how to combine the presentation of numerical and visual data summaries in the same graph, save ggplot2 output in a variety of standard graphical formats, and embed this output in automated reports and presentations. Modern principles for constructing informative statistical graphs will be discussed throughout the course. This hands-on course will offer participants the opportunity to practice the use of ggplot2 in real time. Participants are required to have basic knowledge of R and statistics and to bring their laptops pre-installed with R, R Studio and ggplot2 to the course.
Examples of Plots Produced with R and ggplot2
Benefits to Participants
After attending this course, participants will be able to:
This course is limited to 18 participants and consists of a series of short lectures and demonstrations followed by hands-on, interactive sessions for the participants. Each participant will be provided with:
The course is led by Dr. Isabella Ghement. Isabella obtained her Ph.D. in Statistics from the University of British Columbia (UBC) in 2005. Isabella has presented numerous public and private workshops/courses on the statistical software package R to researchers, graduate students, government agencies and corporations in Canada. She also lectured part-time on advanced statistics at the Sauder School of Business, UBC between 2005 and 2012. Isabella is actively engaged in statistical consulting through her company Ghement Statistical Consulting Company Ltd. Her statistical consulting clients include federal and provincial government agencies, contract research organizations and academic researchers. Isabella co-authored the following publications based on her Ph.D. work on nonparametric regression: "Seasonal Confounding and Residual Correlation in Analyses of Health Effects of Air Pollution" (Environmetrics. 2007; 18(4): 375-394) and "Robust estimation of error scale in nonparametric regression models" (Journal of Statistical Planning and Inference. 2008; 138(10): 3200-3216). Most recently, Isabella has acquired statistical expertise in the field of mixed treatment comparisons, a generalization of meta-analytic methods allowing for the comparison of multiple medical interventions with respect to their efficacy and safety. In this field, Isabella has co-authored publications such as "Incorporating multiple interventions in meta-analysis: an evaluation of the mixed treatment comparison with the adjusted indirect comparison" (Trials 2009, 10:86 doi:10.1186/1745-6215-10-86), "Estimating the Power of Indirect Comparisons: A Simulation Study" (PLoS ONE 6(1): e16237. doi:10.1371/journal.pone.0016237) and "Multiple treatment comparison meta-analyses: a step forward into complexity" (Clinical Epidemiology. 2011; 3: 193-202).
Participants should have some basic knowledge of R and statistics.
Participants should bring a laptop computer pre-installed with the open-source R software and its user-friendly interface R Studio.
R can be installed from http://cran.stat.sfu.ca and R Studio can be installed from http://www.rstudio.org.
In addition to R and R Studio, participants will be required to install several R packages on their laptops. Instructions on R package download will be distributed to participants approximately one week prior to the course.
Upon request, we can provide a computer for participants to use during the workshop for an additional cost of $100.00 plus HST per participant per day.
Downtown Vancouver in the new British Columbia Institute of Technology (BCIT) Building, Room 820, 555 Seymour Street, Vancouver, B.C.
Dates and Times
Dates: May 29 and 30, 2014.
Registration: On both days, course registration begins at 8:30 a.m.
Times: The course starts at 9:00 a.m. and ends at 5:00 p.m. on each day.
The attendance fee for this course is $265.00 per day plus 5% GST per participant (for a total of $556.50) and includes a bound copy of the Course Notes, a CD-ROM containing all course examples and exercises, a variety of course-related handouts, and 30 days of free course-related technical support following the course. The attendance fee also includes morning and afternoon coffee, tea and snacks.
If you would like us to provide a computer for you to use during the course please add $100.00 plus 5% GST per participant per day.
Please click here to download the registration form. For additional attendees, please duplicate the registration form.