Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Tidy data: teach with inflammation, or with DataCarpentry? #3

Closed
katrinleinweber opened this issue Jun 15, 2018 · 3 comments
Closed
Labels
enhancement New feature or request

Comments

@katrinleinweber
Copy link

katrinleinweber commented Jun 15, 2018

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?

@katrinleinweber katrinleinweber added the enhancement New feature or request label Jun 15, 2018
@lwjohnst86
Copy link

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 :)

@katrinleinweber
Copy link
Author

What do you think of https://github.com/TIBHannover/FAIR-R/pull/5/files? I'm adding more context in the conversation there.

@katrinleinweber
Copy link
Author

Related to #6.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

2 participants