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"One advantage of RStudio is that it comes with a built-in data viewer. The Environment tab (in the upper right pane) lists the objects in your environment. "
When you do this lab in RMarkdown, running "arbuthnot" does not make that dataframe appear in the Environment. (It does appear later in exercise 2 when you use piping to create the new column named "total"). My students were slowed down by expecting to see something appear in Environment but nothing appearing. Maybe this language could get cleaned up by distinguishing between when things should appear in Environment or not.
The text was updated successfully, but these errors were encountered:
I'm not sure how extensive this issue is. I think the problem is about
learnr
vs your own .Rmd file. I thought I'd put it here for us to track.contact_reason → typo
book → ims
feedback_type → labs
lab_software → r_core
contact_name → Mike Keim
contact_email → [email protected]
reply_needed → no_but_okay
contact_message
In Lab 1 (http://openintrostat.github.io/oilabs-tidy/01_intro_to_r/intro_to_r.html) this language appears after the first "arbuthnot" R Command:
"One advantage of RStudio is that it comes with a built-in data viewer. The Environment tab (in the upper right pane) lists the objects in your environment. "
When you do this lab in RMarkdown, running "arbuthnot" does not make that dataframe appear in the Environment. (It does appear later in exercise 2 when you use piping to create the new column named "total"). My students were slowed down by expecting to see something appear in Environment but nothing appearing. Maybe this language could get cleaned up by distinguishing between when things should appear in Environment or not.
The text was updated successfully, but these errors were encountered: