Tidy data: teach with inflammation, or with DataCarpentry?
katrinleinweber opened this issue · comments
We need to add one episode about tidy(ing) data and packaging it up as well. In about half an hour, I got the inflammation data tidied up OK like this:
patients <- paste("patient", sep="_", seq(60))
dat <- cbind(dat, patients)
dat_m <- reshape2::melt(data = dat, id.vars = "patients", value.name = "score")
...
usethis::use_data(dat_m)
This would fit into the lesson's topic well, but might not be the best teaching material.
@mkuzak & @lwjohnst86: Have you taught DC's R-eco…dplyr or r-social…tidyr episodes? If yes, can you teach one of those again, and I prepare a little bit about usethis::use_data() after that episode?
I have not taught those specific lessons, but I have taught dplyr and tidyr many many times. So yes, I could teach one of those again :)
What do you think of https://github.com/TIBHannover/FAIR-R/pull/5/files? I'm adding more context in the conversation there.
Related to #6.