Thanks for using the natverse. We’re sorry you’re having trouble, but we’re here to help! To get help as quickly as possible, please read the following.
Search
The first thing is to see if anyone has had your problem before:
- Search our nat-user google group.
- Search GitHub for issues across the whole natverse. You can add your own terms to the search in the search box in the top left of that page.
If that solves your problem, then great!
Known Problems
If you need more help with a known problem:
- If you found a relevant thread on the nat-user google group: please reply to that.
- If you found a GitHub issue: please reply to that with more details (you’ll need a GitHub login) or just like it to let us know you’re having trouble too.
- If you’re not sure: ask a new question on the nat-user google group linking to what you have found.
New Problems
If it looks like a new problem then:
- If you just have a question: please ask the nat-user google group.
- If you need to report a new bug: please file a GitHub issue for the relevant package.
- If you’re not sure: please just ask the nat-user google group! If your problem is a bug or a feature request, you can easily return here and report it - and we may be able to point you to an existing report or workaround.
Good Questions and Bug Reports
- Be specific
- Include the code that triggered the problem
- If at all possible, make a minimal reproducible example (a reprex)
It will be much easier for us to help if we can run a reprex on our own machine without your data. You might want to use sample data from a nat package to help, or refer to publicly available data online.
You can use the reprex package to help and read the Get help! section of the tidyverse site for more information on this.
Thanks for your help!
General R questions
You may find that your question is more of a general R issue than a natverse issue. We’ll always try to help, but you may also want to check out other sources of support:
r-help: The core R project’s information about finding help. The mailing lists have a reputation for being a bit brusque but if you ask a good question you can get a response very quickly.
community.rstudio.com: This is a friendly place to ask general questions albeit with a focus on the tidyverse and other packages written by the rstudio team.
Stack Overflow. Google will often bring you here. It can be a good place to ask questions about specific code issues.
By: [Gregory Jefferis]