Changes dplyr -> taxize

[ibartomeus]

I am thinking on droping dplyr and add taxize to day 1.

Multivariate analysis can also use FD metrics... but this is too much.

R packages?

[Pakillo]

Mmmm I'd keep dplyr. It's very popular (they will find dplyr code everywhere). And powerful. And we use it a lot for the GIS module (sf is closely tied to dplyr). At least a brief intro to the pipe (%>%) and a few common verbs (filter, select, group_by and summarise...)

R pkgs would be nice, but I think many more people will need (or would benefit) from tools like Rmarkdown or GitHub before building their own pkg. But I would definitely teach how to write functions. That is critical for good code, and main step to be able to build pkgs later

[ibartomeus]

ok, i keep dplyr.

I already teach functions in programming 2.

Notes to self:
-Update reshape example to use corridors as columns.
-Typo in "log_ir"
-pieloux function