Recent submissions

Comment · 5 years ago
Comment · 9 years ago
We've tried using docker to put R applications into production. I'm no docker expert, and I found it pretty easy to do.

A couple of pointers: - If you have a dependency on a library like blast that takes a long time to compile, you can make a base docker image that already has that library installed. That makes iteration quicker, as you'll only need to build that base image once.

- If you put a web interface on the image using shiny, then it is straightforward to deploy it for your users to interact with.

Comment · 11 years ago
http://snowplowanalytics.com/ is worth considering if you have larger volumes of traffic
Comment · 12 years ago
Comment · 12 years ago
Comment · 12 years ago
You can apply a filter to your view.

https://support.google.com/analytics/answer/1033162?hl=en-GB

Note that this doesn't apply retrospectively to your data, so it will only apply to data collected after you make a change. You might want to create an advanced segment which filters out these domains, or only includes the ones that you want.

https://www.google.co.uk/intl/en/analytics/features/advanced...

Comment · 13 years ago
Comment · 13 years ago
I'm not sure I understand that point correctly. The Republic of Ireland isn't part of the United Kingdom.

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