Corporate Affiliations Consulting About Us Contact Us

Dr. Hadley Wickham

is the Dobelman Family Junior Chair in the statistics department at Rice University. His research interests include interactive and dynamic graphics, developing practical tools for data analysis, and in gaining better understanding of complex statistical models through visualization. Dr. Wickham has developed 15 R projects, and written numerous articles, chapters, and other papers and in 2006 he won the John Chambers Award for Statistical Computing for his work on the ggplot and reshape R packages.

Education:

Bachelor of Human Biology, The University of Auckland

BSc Statistics, Computer Science, The University of Auckland

MSc Statistics, The University of Auckland

PhD Statistics, Iowa State University

Areas of Expertise:

R Software

ggplot2

GGobi

Data Visualization

Statistical Graphics

Publications:

Author, ggplot2: Elegant Graphics for Data Analysis (Use R) (Springer, 2009)

Contributor, Interactive and Dynamic Graphics for Data Analysis: Using R and GGobi (Springer, 2007)

Awards:

Best paper award Infovis '10 for “Graphical inference for infovis”. With Dianne Cook, Heike Hofmann and Andreas Buja

Distinguished faculty associate, McMurtry College

Vince Sposito award for outstanding potential in statistical computing. Department of Statistics, Iowa State University

John M. Chambers Statistical Software Award for “ggplot and reshape: Practical tools for organising, summarising and exploring data”. ASA Computing and Graphics Sections

Second place. ASA Data Expo Challenge, ASA Computing and Graphics Sections. With Jon Hobbs, Heike Hofmann and Dianne Cook

Dan Mowrey Statistical Consulting for excellence in consulting. Department of Statistics, Iowa State University

First place. Infovis 2005 data visualisation contest. With Heike Hofmann, Dianne Cook, Christian Röttger, and Junjie Sun

Courses:
Programming in R
Programming in R - Advanced
Visualization in R with ggplot2

Want to be notified of future course offering?

What our students say:

“I realized one of my work projects would benefit from deeper statistical analysis, including functions I had a good background in and knew at one time, but I needed to dust the cobwebs off and catch up to changes in the field.” Douglas D. Reimel, Jr.

Douglas Reimel

"I’ve increased my exposure in my department and profession because I have experience with a number of data analysis approaches. I’ve been asked to give guest lectures in other classes on statistical methods and different strategies, and I was asked to present at a national conference." Todd Lewis, Ph.D., Associate ProfessorDepartment of Counseling and Educational DevelopmentSchool of EducationUniversity of North Carolina at Greensboro

Todd Lewis

"We’re trying to make it easier for patients to get their prosthetic arms to do exactly what they want them to do. I’ve applied what I’ve learned through my statistics.com courses, such as Baysian statistics, computing techniques, biostatistics, clinical trials, analysis and sensitivity software, bioavailability, probability distributions, data mining, and designing experiments to map brain impulses to muscle movement, which ultimate...

Patricia Shewokis

“It took me a long time to find just the right program that provides the right mix of applied and theory, but I found the right one at statistics.com. My staff emerges from your training ready to make an impact on the company.” Joseph SommaDirector, Market IntelligenceIndependent Health

Joseph Somma

"Traditionally, reports are designed to summarize data, but they can only tell you what happened. I'm applying data mining algorithms I've learned in my Statistics.com coursework to ask why something happened." Susan StranburgSoftware Developer

Susan Stranburg

"My courses help me look at more complex problems using different approaches to show more interesting aspects of conditions, beyond just tables and charts, more than just sampling or descriptive statistics." Cristobal BazanUnited Nations agency

Cristobal Bazan

I hear IT people complaining that they’re always needing to learn new technology because things in their field evolve and change quickly. The same thing is true in analytics. New techniques are developing rapidly. Robert Wood Director, Advanced Analytics Group, Merkle

Robert Wood

Site Map Privacy Policy Terms and Conditions