Finally sat down to try to get my head around `reshape()` after being told somewhere that `melt`/`cast` are old hat, `reshape` is the new hotness...the result?

Friendship ended with `reshape`, now me and #tidyr are besties, `pivot_longer`/`pivot_wider` ilu  #rlang #dataviz

@edyhsgr Potentially controversial, but I agree!

I was annoyed when the code demos for a particular uni course relied on #tidyR, because I felt that I hadn't learned enough #baseR yet.

So I stuck to base for my big assignment, only bringing in other packages where needed. It's not that I dislike tidy; it's just that I want to be in control of the packages - I don't want the packages to be in control of me.

Any #rstats users here that use #tidyr et al. for clustering and ordination?

I'm trying to wrap my head around how I should manage a workflow like:

data -> distance matrix -> clustering or ordination

*without* the benefit of row names to link the original data to the resulting cluster leaf or ordination point.

Great new features in #tidyr 1.2.0

https://www.tidyverse.org/blog/2022/02/tidyr-1-2-0/

#RStats @rstats