Hi Lindsay,
There is also an open pull request with some basic stats here:
https://github.com/datacarpentry/R-ecology-lesson/pull/62/files
Keep us posted if you develop new materials and/or if you want
feedback before teaching the lessons.
Cheers,
-- François
On Tue, May 17, 2016 at 3
Hi again Lindsay (this is my public reply),
The Data Carpentry lesson of the genomics-focused material is very
good at introducing `dplyr`:
http://www.datacarpentry.org/R-genomics/04-dplyr.html
Regarding joins, the official docs are a great place to start:
https://cran.r-project.org/web/packages/
Hi Lindsay,
The Software Carpentry r-novice-gapminder materials have a section on
reshaping data that might be useful if you haven't looked at it already:
https://github.com/swcarpentry/r-novice-gapminder/blob/gh-pages/14-tidyr.md
There's also lots of material on wrangling data with dplyr, but I'
Hi all,
I’m putting together an Introduction to R in Ecology workshop for grad students
at the University of New Brunswick that will be based on the DC Ecology R
lessons but include several other topics, including a basic introduction to
some stats (ANOVA, linear regression), some other aspec
Dear all,
I bring to your attention a couple of opportunities within the MHPC, the
joint SISSA/ICTP master in High Performance Computing I am strongly
collaborating with.
1.the "call for application" for third edition of our master in High
Performance Computing:
https://www.sissa.it/n
