Events

This talk will introduce the concepts and jargon of structural equation modeling (SEM).  We will demonstrate how to fit SEMs for continuous outcomes using the -sem- command in Stata.  We will also demonstrate how use Stata's -gsem- command to fit multilevel structural equation models that include continuous, binary, multinomial, ordinal and count outcomes using a...

If you currently use Hoffman2 or are interested in doing so, this is a great opportunity to get information on UCLA’s shared high-performance computing environment and provide feedback to the IDRE Research Technology Group on the future direction of the service. The meeting will include a quick overview of the Hoffman2 cluster, HPC storage, and...

The purpose of this workshop is to discuss commonly used techniques for handling missing data and common issues that could arise when these techniques are used. In particular, the se workshop will focus on the one of the most commonly used modern methods, multiple imputation.  The workshop will cover multiple imputation using the multivariate normal...

This workshop will show how descriptive analyses, both numerical and graphical, can be done with continuous and categorical variables.  Subpopulation analysis will be discussed, and then examples of OLS regression and logistic regression will be considered.

    Speaker: Omar I. Asensio, Ph.D., IDRE Scholar Institute of the Environment & Sustainability, Anderson School of Management Ziman Center, UCLA Time:  12 p.m. to 1 p.m. (Lunch will be served*) Date: Feb 8, 2017 Location:  5628, Math Sciences Building Registration:   https://idre.ucla.edu/calendar-event/big-data-and-information-policies#rsvp‎   Abstract: Mobile apps and smart metering technologies can provide a wealth...

This workshop will introduce some fundamental topics in regression analysis using SPSS in three parts. The first part will begin with a brief overview of the SPSS environment, as well simple data exploration techniques to ensure accurate analysis using simple and multiple regression. The second part will introduce regression diagnostics such as checking for normality...

R is a powerful statistical package that runs on many platforms, including Windows, Macintosh and Unix. This class is designed for people who are just getting started using R. The students in the class will have a hands-on experience using R for statistics, graphics, and data management. The R class notes do not contain any...

This workshop introduces how to use the R ggplot2 package to produce publication-quality graphics, particularly for data analysis accompanying a planned regression model. First, the underlying grammar (system) of graphics is introduced with demonstrations. Then the usage of ggplot2 for exploratory graphs, model diagnostics, and presentation of model results is illustrated through 3 examples.

This workshop covers descriptive analyses, both numerical and graphical, with both continuous and categorical variables.  Subpopulation analysis will be discussed, and then examples of OLS regression and logistic regression will be considered.

  Speaker: Dr. Zhenman Fang, Ph.D., IDRE Scholar, Computer Science Department, University of California, Los Angeles Time: 11:45 A.M. - 1 P.M. (Lunch will be serverd*) Date: Apr 12, 2017 Location: 5628, Math Sciences Building RSVP: https://idre.ucla.edu/calendar-event/accel-next-gen-dna-seqn#rsvp   Abstract: Modern medical research is being transformed with the advance of next-generation sequencing technologies that dramatically reduce...

Mplus is a powerful statistical package used for the analysis of both observed and latent variables. Among the kinds of analysis it can perform are exploratory factor analysis, confirmatory factor analysis, latent class analysis, latent growth curve modeling, structural equation modeling and multilevel modeling. This workshop is designed for people who are just getting started...

This workshop introduces methods of analyzing interactions (moderated effects) in regression models:  calculating, comparing and graphing simple effects and slopes.  Specifically, we emphasize the use of proc plm and the lsmeans and estimates statements in SAS in conjunction with a solid understanding of the regression equation.  Examples include two- and three-way interactions in linear regression...

Description:  This course is for users who want to learn how to write SAS programs. It is the entry point to learning SAS programming and is a prerequisite to many other SAS courses.  This workshop will be presented by an instructor from SAS.  This is the first of two workshops in preparation for the Base...

Instructors: Yoh Kawano and Albert Kochaphum This workshop is for those who want to use film as a method of research, whether in creating a documentary film, or to collect qualitative data through interviews. The workshop will cover the basics on what equipment to use, how to shoot an interview, B Roll, and verite footage....

This workshop covers Stata commands and methods for common data management tasks, such as identifying data errors, identifying duplicated data, specifying missing values, working with string variables, labeling variables, creating new variables, merging datasets, processing data by groups and using loops for repetitive tasks.  The workshops is focused on preparing data for statistical analysis.

Instructors: Yoh Kawano, Andy Rutkowski, and Albert Kochaphum. Having a hard time finding a data source? This workshop will go over strategies for locating and using a variety of open and proprietary data sources, including Social Explorer, SimplyMap, PolicyMap, EVGeoCloud, and Los Angeles Open Data.  

This session is a general introduction to how to use UCLA Hoffman2 Cluster. The objective is to familiarize current and potential cluster users with the Hoffman2 Cluster, so they can make the best use of UCLA computational resources. The following topics will be covered: 1. How to access and login to the Hoffman2 Cluster, primarily...

Instructors: Albert Kochaphum and Pete Broadwell Starting with a simple introduction to Python, this workshop will demonstrate how to turn structured data from any website into a csv file. Topics include the following: identifying appropriate websites, installing Python, tweaking Python code, and examining the data output.  

Instructors: Yoh Kawano, Albert Kochaphum, Andy Rutkowski. This workshop will go over step-by-step how to create a map using ArcGIS. We will discuss spatial joins, styling data, and how to utilize basic spatial tools. Data will be provided.  

Instructors: Yoh Kawano, Andy Rutkowski, and Albert Kochaphum The workshop will be the culmination of the workshop series by teaching a platform in which to showcase projects. Ranging from CartoDB to ESRI’s Story Maps, this workshop will cover: using tabular data for mapping, converting data into a digital web map, and creating a narrative structure...

Instructor: Bruce McCrimmon This workshop will go through how to import and creating 3D models from Maya for animating in Adobe After Effects. Basic skills to be covered are converting models, rotating models, and animating motion.  

This workshop is for those who need to learn data manipulation techniques using SAS data and procedure steps to access, transform, and summarize SAS data sets. The course builds on the concepts that are presented in the Introduction to SAS Programming workshop and is not recommended for beginning SAS software users.  In this hands-on workshop,...

UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce a two day Big Data workshop (September 12-13, 2017, 8 AM-2 PM PDT each day). This workshop will focus on topics such as Hadoop and Spark and will be presented using the Wide Area Classroom (WAC) training platform. For registration and detailed information,...

Stata is a powerful and yet easy-to-use statistical package that runs on Windows, Macintosh and Unix platforms. This class is designed for people who are just getting started using Stata. The students in the class will have a hands-on experience using Stata for statistics, graphics and data management. The class notes can be found at https://stats.idre.ucla.edu/stata/seminars/notes/ .

SAS is a powerful statistical package that runs on many platforms, including Windows and Unix. This class is designed for people who are just getting started using SAS. The students in the class will have a hands-on experience using SAS for statistics, graphics, and data management. The class notes can be found at https://stats.idre.ucla.edu/sas/seminars/notes/ .

The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This class is designed to clarify the process of porting your own applications on the cluster or using applications already available on the cluster. It also addresses how to port your workflow to the Hoffman2 and how to submit batch and run...

This class will address the process of creating Matlab standalone executables and running Matlab in batch, as well as running Abaqus python scripts. Example of how to submit array jobs using Abaqus, R and other applications. Can my simulations be submitted as array jobs? Bring your own problem. Also, Jupyter Notebooks: another way to run...

SPSS is a very easy-to-use statistical package that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use SPSS. The students in the class will have a hands-on experience using SPSS for doing statistics, graphics, and data management. The class notes are the scripts for the class. The class notes can be found at https://stats.idre.ucla.edu/spss/seminars/notes/ .

MPI (message passing interface) is the de facto standard for distributed-memory parallel scientific computing. While the entire MPI API is quite extensive, this class will cover a number of key ingredients commonly used in practice. This class is useful for those who plan to start writing MPI code, and for those who would like to...

Python, originally developed as a general purpose programming language, has gained its popularity in the scientific community in recently years owning to its elegant and easy- to-understand syntax and powerful libraries. Python fully supports both functional and object-oriented programming styles. This class will present a number useful features of Python in the context of scientific...

Part-I session of Computing Environment on Linux class is aimed to help researchers who are new to the Linux system. This two hour session will introduce basic Unix/Linux commands, shells, as well as a few editors available on most of the flavors of Linux operating system. The user should be able to log in to...

The Department of Energy, National Science Foundation, and the National Aeronautical Space Agency support an ecosystem of “leadership class” computing facilities housing some of the world’s most advanced supercomputers and high-end visualization and data analysis resources. These facilities provide “free” computing cycles at scale and storage to researchers from academia. Access to these resources is...

R is a powerful and yet easy-to-use statistical package that runs on Windows, Macintosh and Unix platforms. This class is designed for people who are just getting started using R. The students in the class will have a hands-on experience using R for statistics, graphics and data management. The class notes can be found at...

November SPC event at UCLA is tentatively scheduled for Thursday, 11/30 10 am - 12 pm PDT (11 am - 1 pm MDT). It will be a technical workshop on introduction to scientific computing in Python. This is in collaboration with the Institute for Digital Research and Education (IDRE) here at UCLA. Some topics to...

UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce a two day Big Data workshop (February 7-8, 2018, 8 AM-2 PM PDT each day). This workshop will focus on topics such as Hadoop and Spark and will be presented using the Wide Area Classroom (WAC) training platform. For registration and detailed information,...