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: https://statfiles.uri.edu/JMP
- ATLAS.ti– qualitative statistics; platforms: Windows & MacOS
*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 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
Consultations
We provide consulting on using statistical tools and experimental design. Make an appointment with the Graduate Assistant at 874-2815
Christian Vye
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
- Overleaf Pro – LaTeX editing software for Faculty; Web-based interface
- 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:
- Fall ’24 workshops on Python, R, Statistics Software, etc.
We are continuing with our workshop series covering topics like Python, R, Statistics Software, Unity HPC and more, coordinated with the URI AI Lab. You can find the detailed schedule here: URI Events Page for AI Lab: https://events.uri.edu/group/ai Google Doc: https://docs.google.com/spreadsheets/d/1z5g_c6HFxm2D0UYNpBvxGPKbJn8F1s3h2QOFaYfOzag Or check out each individual workshop at these links Python: https://events.uri.edu/event/ai-lab-workshops-pythonUnity: https://events.uri.edu/event/ai-lab-workshops-unityosn
Tableau: https://events.uri.edu/event/ai-lab-workshops-tableau-series
AI Tools: https://events.uri.edu/event/ai-lab-workshops-ai-tools
Generative AI: https://events.uri.edu/event/ai-lab-workshops-generative-ai
Bioinformatics: https://events.uri.edu/event/ai-lab-workshops-bioinformatics
SPSS/SAS: https://events.uri.edu/event/ai-lab-workshops-spsssas
R: https://events.uri.edu/event/ai-lab-workshops-r-series
Data Science: https://events.uri.edu/event/ai-lab-workshops-data-science
ML/DL: https://events.uri.edu/event/ai-lab-workshops-machine-learning-deep-learning
GitHub: https://events.uri.edu/event/ai-lab-workshops-github
- 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 - Spring ’24 semester workshops: Python, R, SAS, SPSS, Unity and moreOur Research Computing / AI Lab Spring ’24 semester workshop program can be found now on the URI Events Calendar: https://events.uri.edu/group/ai/calendar/ More specifically: Data Science – https://events.uri.edu/event/ai_lab_workshops_-_data_science GitHub – https://events.uri.edu/event/ai_lab_workshops_-_github Bioinformatics – https://events.uri.edu/event/ai_lab_workshops_-_bioinformatics R – https://events.uri.edu/event/ai_lab_workshops_-_r_series SAS/SPSS – https://events.uri.edu/event/ai_lab_workshops_-_spsssas Unity – https://events.uri.edu/event/ai_lab_workshops_-_unityosn Or you can also find a full list with dates/times and Zoom links here: https://docs.google.com/spreadsheets/d/1G8YcDSoRR0SMKi4lQL1V3mY4IGX2mec-TwsfTCFzcdI/edit?usp=sharing
- 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
- JMP Course
- 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 1This 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 1This 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 Beginner’s Course Video
