Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
r_workshop3 [2019/02/16 23:15]
mariehbrice [Workshop 3: Intro to ggplot2]
r_workshop3 [2021/10/13 20:03] (current)
lsherin
Line 1: Line 1:
 +<WRAP group>
 +<WRAP centeralign>​
 +<WRAP important>​
 +<wrap em> __MAJOR UPDATE__ </​wrap> ​
 +
 +<wrap em> As of Fall 2021, this wiki has been discontinued and is no longer being actively developed. </​wrap> ​
 +
 +<wrap em> All updated materials and announcements for the QCBS R Workshop Series are now housed on the [[https://​r.qcbs.ca/​workshops/​r-workshop-03/​|QCBS R Workshop website]]. Please update your bookmarks accordingly to avoid outdated material and/or broken links. </​wrap>​
 +
 +<wrap em> Thank you for your understanding,​ </​wrap>​
 +
 +<wrap em> Your QCBS R Workshop Coordinators. </​wrap>​
 +
 +</​WRAP>​
 +</​WRAP>​
 +<WRAP clear></​WRAP>​
 +
 ======= QCBS R Workshops ======= ======= QCBS R Workshops =======
  
Line 11: Line 28:
 Developed by: Xavier Giroux-Bougard,​ Maxwell Farrell, Amanda Winegardner,​ Étienne Low-Decarie and Monica Granados ​ Developed by: Xavier Giroux-Bougard,​ Maxwell Farrell, Amanda Winegardner,​ Étienne Low-Decarie and Monica Granados ​
  
-**Summary:​** In this workshop ​we will build on the data manipulation and visualization skills ​you have learned in base R by introducing ​ggplot2, an excellent plotting ​alternative to base R that can be used for both diagnostic and publication quality plots. We will then introduce tidyr and dplyr, two powerful tools to manage and re-format your dataset, as well as apply simple or complex functions on subsets of your data. This workshop will be useful for those progressing through the entire workshop series, but also for those who already have some experience in R and would like to become proficient with new tools and packages+**Summary:​** In this workshop, you will improve your data manipulation and visualization skills ​using ''​ggplot2''​. We will explore the richness of ''​ggplot2''​which can be used as an alternative to base R. We will learn how to exploit this package ​for both diagnostic and publication quality plots.
  
-**Link to new [[https://​qcbsrworkshops.github.io/Workshops/​workshop03/​workshop03-en/​workshop03-en.html|Rmarkdown presentation]]**+**Link to new [[https://​qcbsrworkshops.github.io/​workshop03/​workshop03-en/​workshop03-en.html|Rmarkdown presentation]]**
  
 Link to old [[http://​prezi.com/​daz9r0cj1si4/​|Prezi presentation]] Link to old [[http://​prezi.com/​daz9r0cj1si4/​|Prezi presentation]]