Han Li's guest appearances

Han Li

LISA: Laboratory for Interdisciplinary Statistical Analysis - Short Courses

MovieMaker

David Shields

Deon Taylor

Gary Oldman

Kurt Vonnegut

Ben Stiller

Jeff Barnaby

Adam McKay

David Oyelowo

Willem Dafoe

Margot Robbie

Alison Brie

Sean Baker

Carey Mulligan

Alfre Woodard

Iliza Shlesinger

OwlTail

Peter Baxter

Slamdance is a film festival for filmmakers, by filmmakers. In this episode, festival president and co-founder Peter Baxter and festival manager Adele Han Li share some intel on how it chooses films, what it values, and how it's changing.Rather than retreat in the face of the pandemic, Slamdance — like many other festivals — has seized on the opportunity to innovate. This year one of its biggest additions is a new showcase called Unstoppable that focuses on films by moviemakers with disabilities.In this episode we also learn about the Slamdance Bible, discuss whether indie filmmaking is harder now than it was in the booming '90s, and hear stories about a young Christopher Nolan — one of many filmmakers Slamdance helped launch. Slamdance 2021 starts this Friday, and you can get a $10 pass ($5 for students) at Slamdance.com. Hosted on Acast. See acast.com/privacy for more information.

Slamdance is a film festival for filmmakers, by filmmakers. In this episode, festival president and co-founder Peter Baxter and festival manager Adele Han Li share some intel on how it chooses films, what it values, and how it's changing.Rather than retreat in the face of the pandemic, Slamdance — like many other festivals — has seized on the opportunity to innovate. This year one of its biggest additions is a new showcase called Unstoppable that focuses on films by moviemakers with disabilities.In this episode we also learn about the Slamdance Bible, discuss whether indie filmmaking is harder now than it was in the booming '90s, and hear stories about a young Christopher Nolan — one of many filmmakers Slamdance helped launch. Slamdance 2021 starts this Friday, and you can get a $10 pass ($5 for students) at <a href="https://slamdance.com" rel="noopener noreferrer nofollow" target="_blank">Slamdance.com.</a> Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Peter Baxter and Adele Han Li (Slamdance Film Festival)

R is a free computing and graphical software/environment for statistical analysis. Part III of this short course consists of 3 sections:    Section 5 introduces the concept of generalized linear models.  R will be used for performing logistic regression and Poisson regression.    Section 6 introduces the concept of categorical data analysis. Topics to be covered include: graphical displays of categorical data, measures of association, and contingency tables analyses.    Section 7 will cover writing functions in R. Users can write functions in R to carry out operations  and return one or more values. Examples of functions will be given and participants will also be given exercises to help with writing their own functions.Note: experience using R or attending Part I and Part II of this series is suggested but not required for Part III.R can be downloaded here: http://www.r-project.org/RStudio can be downloaded here: http://rstudio.org/download/desktopCourse files available here:www.lisa.stat.vt.edu/?q=node/5039.

R is a free computing and graphical software/environment for statistical analysis. Part III of this short course consists of 3 sections: Section 5 introduces the concept of generalized linear models. R will be used for performing logistic regression and Poisson regression. Section 6 introduces the concept of categorical data analysis. Topics to be covered include: graphical displays of categorical data, measures of association, and contingency tables analyses. Section 7 will cover writing functions in R. Users can write functions in R to carry out operations and return one or more values. Examples of functions will be given and participants will also be given exercises to help with writing their own functions. Note: experience using R or attending Part I and Part II of this series is suggested but not required for Part III. R can be downloaded here: <a href="http://www.r-project.org/" rel="nofollow" target="_blank">http://www.r-project.org/</a> RStudio can be downloaded here: <a href="http://rstudio.org/download/desktop" rel="nofollow" target="_blank">http://rstudio.org/download/desktop</a> Course files available here:<a href="http://www.lisa.stat.vt.edu/?q=node/5039" rel="nofollow" target="_blank">www.lisa.stat.vt.edu/?q=node/5039</a>.

Introduction to R, Part III - Generalized Linear Models and Writing Functions by Han Li