Explore the variety of ways that data can be filtered and subset in R. Working with data frames and vectors, data frames, and lists, participants will learn the nuances of extracting portions of a larger data set for analysis.
Researchers, meet your Okanagan research support team! Come join us to connect with friendly faces who are always there to support solutions for your scholarly communication and digital or data-intensive research needs.
This session will revisit the vector underpinnings of R, introduce the apply() family of functions for iterating, or looping, over objects, and introduce for loops for those instances when no pre-existing solution exists.
Do you want to practice your English speaking skills? Join our English Conversation Circle!
This session will introduce conditionals in R, addressing those times when, for example, if something is true x needs to happen, otherwise y needs to happen. Participants will be introduced to pre-existing if / else constructs, as well as how to construct conditional statements from scratch.
This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.
By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.
This term, the Sankofa Book Club will discuss The Women of Brewster Place. The book club meets in the Black Student Space from 5 pm to 6:30 pm on October 26, November 19 and December 7.
IBPOC faculty, staff, and postdoctoral scholars are invited to join the IBPOC Faculty and Staff Affinity Group for our Fall Meet and Greet. The IBPOC Faculty and Staff Affinity Group at UBCO is dedicated to building connection and support among IBPOC and racialized faculty, staff and postdoctoral fellows at UBCO. We are a volunteer-based group […]
This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.
By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.
This session will introduce ggplot for data visualization. Common visualizations, including bar charts, histograms, scatterplots, etc. will be covered.
This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.
By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.
Do you want to practice your English speaking skills? Join our English Conversation Circle!
This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.
By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.
This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.
By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.
Do you want to practice your English speaking skills? Join our English Conversation Circle!
This term, the Sankofa Book Club will discuss The Women of Brewster Place. The book club meets in the Black Student Space from 5 pm to 6:30 pm on October 26, November 19 and December 7.
This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.
By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.
This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.
By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.
This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.
By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.
Do you want to practice your English speaking skills? Join our English Conversation Circle!
This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.
By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.
This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.
By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.
This term, the Sankofa Book Club will discuss The Women of Brewster Place. The book club meets in the Black Student Space from 5 pm to 6:30 pm on October 26, November 19 and December 7.
This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.
By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.
3333 University Way
Kelowna, BC Canada V1V 1V7
Tel 250 807 8000
We respectfully acknowledge the Syilx Okanagan Nation and their peoples, in whose traditional, ancestral, unceded territory UBC Okanagan is situated.
