You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Overrepresentation analysis of the differentially expressed features from 4. in various biological ontology systems - produces example bar plots for enriched categories.
I have analysis and narrative nicely integrated using bookdown, enabling efficient on fly discarding of temporary (sizable) data sets/ggplot2 objects (pre/post transformation data etc.).
HOWEVER: The target audience is mostly/only interested in 4. & 5., leading me to the aspired to following structure:
4., 5., Appendix(1., 2., 3.)
Is there any other way but precomputing 1.-5. and then revisiting in the targeted order - I would prefer to avoid accumulating all those ggplot2 objects in memory if at all possible.
The text was updated successfully, but these errors were encountered:
@r-cheologist: I tried to answer your SO question. I hope it helps. If so, please close this issue.
PS: I wanted to point out that I saw your SO question before seeing this github issue (I follow bookdown on both platforms, but on SO there are likely more followers). So also without this issue you would have gotten my attention and answer. I'd suggest to at least wait for a couple of days before cross-posting (if at all), as not everyone has time every day or is even close to your time zone. 😉
This old thread has been automatically locked. If you think you have found something related to this, please open a new issue by following the issue guide (https://yihui.org/issue/), and link to this old issue if necessary.
This comes from an earlier post to stackoverflow ...
Programatically my
bookdown
project proceeds as follows:I have analysis and narrative nicely integrated using
bookdown
, enabling efficient on fly discarding of temporary (sizable) data sets/ggplot2
objects (pre/post transformation data etc.).HOWEVER: The target audience is mostly/only interested in 4. & 5., leading me to the aspired to following structure:
Is there any other way but precomputing 1.-5. and then revisiting in the targeted order - I would prefer to avoid accumulating all those
ggplot2
objects in memory if at all possible.The text was updated successfully, but these errors were encountered: