Statistical Applications
- SAS– statistical analysis; platforms: Windows & Linux, Web-based interfaces options available (either SAS OnDemand through SAS Institute, or our Cloud*)
- SPSS– statistical analysis; platforms: Windows, MacOS, & Cloud*
- AMOS – path analysis; platform: Windows
- R and RStudio– statistical analysis; platforms: Windows, Linux & MacOS, Cloud***
- Python – programming and statistical analysis: Windows, Linux & MacOS, Cloud***
- JMP Pro – statistical analysis, visualization, data exploration: Windows & MacOS, Cloud*
- get it here from the vendor: https://jmp.com/student
- ATLAS.ti– qualitative statistics; platforms: Windows & MacOS (limited licenses, for grad students who need access, their requests should come from their Major Prof./PI.)
*available to run from AWS Appstream at https://myapps.microsoft.com Contact christianvye@uri.edu if you do not find it there.
*** R is available (for teaching/student use only) to run from RStudio Workbench at https://rstudio.uri.edu, Python is available to run from JupyterHub at https://jupyter.uri.edu – contact cshen@uri.edu if you need a login for those portals
Virtual Labs of Windows 11 machines can be set up. Contact Chi Shen cshen@uri.edu for more information.
Consultations
We provide consulting on using statistical tools and experimental design. Make an appointment with the Graduate Assistant at 874-2815
Christian Vye
Advanced Application Specialist
Carothers Library, Room 227
Kingston, RI 02881
401.874.2966
christianvye@uri.edu
Elizabeth Pauley
Other Advanced Applications
- MathWorks: MATLAB and Simulink– mathematics; platforms: Windows, Linux & MacOS, Web-based interface option available, MATLAB Online, and Cloud*
- Geneious– genetic sequencing; platforms: Windows, Linux & MacOS (a limited number of licenses, for grad students who need access, their requests should come from their Major Prof./PI.)
- Overleaf Pro – LaTeX editing software for Faculty; Web-based interface (a limited number of licenses, for grad students who need access, their requests should come from their Major Prof./PI. {currently unavailable, as we’ve reached our license-limit})
- Qualtrics – survey software; Cloud*
- SAS Viya for Learners – visual analytics, visual statistics, and data science
Training
We provide (or have access to) training through Zoom, in-person, and online. Here are a few of the online courses available:
- Spring ’26 semester workshops
The details of our Spring ‘26 semester workshops appear below. These are open to faculty, staff, and students and are totally free. https://docs.unity.uri.edu/news/2026/01/uri-spring-26-workshops/ You can also find these on the URI events calendar (and subscribe): https://events.uri.edu/group/aiThis semester we have a new workshop on “Quantum Algorithms for Engineers and Scientists”. PS: Previously recorded versions are available here: https://its.uri.edu/research-training/ - R, Python, SAS, SPSS, Unity, Bioinformatics and more workshop recordings available!
Our workshop program for the semester has wrapped up. Here you can find the recordings of all the workshops we ran including R, SAS, SPSS, Python, Bioinformatics, Unity and others: http://its.uri.edu/research-training - R Basics CourseThis one-time Beginner’s Course lays the groundwork for understanding R and R-Studio. This course will go over the basics of the R-Studio interface and will introduce R coding skills and an overview of data manipulation. R Basics
- SPSS Beginner CourseThis one-time Beginner Course will help build a foundation for understanding SPSS. This course will cover the basics of SPSS, and introduce students to both the syntax and point/click features SPSS offers. SPSS Beginner
- SAS Beginner Course VideoThis one-time Beginner’s Course will lay the groundwork for understanding SAS. This course will go over the basics of the SAS interface, and will introduce you to inputting data into the program. It finishes up with showing basic statistical analysis including regression, parametric tests, and ANOVA. SAS Beginner’s Course Spring 2021
- ATLAS.ti Training Content
- R Intermediate Course 1
This short course will build on the already established knowledge of R programming, and will introduce students to higher-level statistical programming. This will include linear models and multivariate analysis. Within linear models, there will be explanations of simple and multiple linear regression, estimation and inference, categorical variables, and predictions. The multivariate analysis will focus on Principal Component Analysis (PCA) and clustering.
R Intermediate Course Video - R Beginner’s Course 1
This one-time Beginner’s Course lays the groundwork for understanding R and R-Studio. This course will go over the basics of the R-Studio interface and will introduce R coding skills and an overview of data manipulation.
