Events Calendar

Programming in R

This is a past event.

This workshop will cover the more advanced topics in R programming for data analysis and graphics. 

Registration is required. Please register here.

Upon completion participants will be able to:

  • Import and export data
  • Merge datasets
  • Transform data
  • Create basic summaries of data

Seats are limited.  Preference will be given to faculty, students, and researchers in the schools of the health sciences (Medicine, Dental Medicine, Pharmacy, Nursing, Health and Rehabilitation Sciences, and Public Health).

One week after this class we will host a follow-up session (11 am - 12:30 pm) to review the practice exercise questions distributed during the workshop. Registration is not required for the follow-up session. To attend, use the same Zoom link you received upon registration for the original workshop.  

Target Audience:

R users with a working understanding of R basics seeking more advanced skills for using R for data analysis and graphics.

Prior to taking this course participants should be able to:

  • identify components of R interface,
  • perform simple calculations in R,
  • identify and compare data types in R,
  • use existing functions in R,
  • write simple functions in R, and
  • load external packages in R.

Tuesday, October 13 at 11:00 a.m. to 1:00 p.m.

Virtual Event

Programming in R

This workshop will cover the more advanced topics in R programming for data analysis and graphics. 

Registration is required. Please register here.

Upon completion participants will be able to:

  • Import and export data
  • Merge datasets
  • Transform data
  • Create basic summaries of data

Seats are limited.  Preference will be given to faculty, students, and researchers in the schools of the health sciences (Medicine, Dental Medicine, Pharmacy, Nursing, Health and Rehabilitation Sciences, and Public Health).

One week after this class we will host a follow-up session (11 am - 12:30 pm) to review the practice exercise questions distributed during the workshop. Registration is not required for the follow-up session. To attend, use the same Zoom link you received upon registration for the original workshop.  

Target Audience:

R users with a working understanding of R basics seeking more advanced skills for using R for data analysis and graphics.

Prior to taking this course participants should be able to:

  • identify components of R interface,
  • perform simple calculations in R,
  • identify and compare data types in R,
  • use existing functions in R,
  • write simple functions in R, and
  • load external packages in R.

Tuesday, October 13 at 11:00 a.m. to 1:00 p.m.

Virtual Event

Topic

Research

Hashtag

#HealthSciences

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