When I was an MSc student I made nearly all the figures for a paper just to get an acknowledgment. I’d love to meet that person now to discuss/berate them as to why they felt this was okay.

A challenge I faced was push back from senior authors for adding junior authors who contributed more than most of the seniors. In extreme, seniors sent emails saying well done after submission and congrats after acceptance. Juniors at the least read the paper and provided useful comments.

Happy to share the publication of our work "Estimating social contact rates for the COVID-19 pandemic using Google mobility and pre-pandemic contact surveys", huge thanks to my co-authors @christopherjarvis.bsky.social @ngdavies.bsky.social @pietro-coletti.bsky.social Jantien Backer and John Edmunds

You could argue USA is big and diverse but then Canada looks like it varies so they thought about using a quiz to help and they start off with support and kind words www.canada.ca/en/services/...

Variables must be named after the author in numerical order. Chris chris1 chris2 chris3 if you need to make a new one earlier on then add a letter chris1a

No worries. If you get really stuck I’d be happy to have a call.

This book cover all three types. www.paulamoraga.com/book-spatial...

If the values at the locations are of interest, rather than the locations then you want to adjust for spatial correlation. This is where you used random effects models that account for spatial structure. Such as SAR, CAR, ICAR, BYM models. These fall in areal or geostatistics.

There are a couple of things: If the randomness you’re interested is the location, which as you’re calculating distances and analysing them that’s seems to be the case then you can look at point pattern analyses. en.m.wikipedia.org/wiki/Point_p...

Correcting for Edge Effects in Spatial Statistical Analyses Motivation for the research theme discussed in this chapter comes from the myriad of problems arising from dividing geographical landscapes into a finite number of areal units. Some of the more promin...

Okay if boundaries are your issue then you can look at edge effects. link.springer.com/chapter/10.1...

Hi @caprosser.com, the problem isn't quite clear to me. I'm not sure it's spatial. Isn't this the same as simulating height and then measuring how far all of them are from 10cm intervals then showing that some of them are nearer to a bunch of the intervals? and then correlations due to boundaries.

A vanilla KMunicate-style Kaplan–Meier graph from {kmunicate}. Key is the extended risk table showing the status of participants over time.

Stata users: if you want to make ‘kmunicate’-style Kaplan–Meier graphs, I’ve just released a Stata package on GitHub.

To get it:
. net from raw.githubusercontent.com/tpmorris/kmu...
User feedback welcome!
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This is a nice option that moves beyond lots of copy paste in your script and gets you closer to thinking about repeated patterns that you might eventually put in a package. #rstats

And congrats! Last PhD paper back with revisions that took you a couple of hours is a big achievement!

Definitely, once you’re used to submitting papers you realise a lot of these deadlines are arbitrary and if they’ve already sent out to reviewers and you’re asked to respond then they’re pretty invested. I found asking for a month or more is accepted with no fuss.

After I’ve said this, I realise it’s a the same system we use for driving tests in the UK. My motivation is that I want to cause the authors the least amount of work required for the paper to be publishable. Plus what I might think takes hours takes them weeks or vice versa.

I think of major as if you don’t address this then I’ll probably reject the paper. Then minor is suggestions that I’ll let pass unless you ignore lots of them. The amount of time they take is secondary to me, I think of them as importance.

My fav shortcut is alt+shift+k which shows you all the shortcuts.

Then sometimes you have loads of computers (docker images) that you want to switch on many times (containers) so you use something like Kubernetes to manage all of that for you.

I like this intro colinfay.me/docker-r-rep...

And tugboat is here www.dmolitor.com/tugboat/

The mains bits are the dockerfile which records how you want to set your computer up (the image) and the docker-compose file which allows you to build the computer, and also switch it on (a container).

I found #docker mysterious until I thought of it like buying a laptop setting it up exactly how I need and then handing it over to another person. Then dockerhub is like the post office that takes my laptop and delivers it to others. Tugboat makes it pretty easy to do in #rstats

Left hand side has a complex formulate for multi-level models, the right hand side has code to count up the number of rows in a group in dplyr.

I feel like I started my #stats journey wanting to do lots of fancy multi-level, spatial, and Bayesian models. Then I'm now happy if I can produce a useful count, that I understand and can clearly explain.

In many ways knowing the complex stuff just gave me permission to do simple things. #rstats

Here’s some proof

bsky.app/profile/chri...

I like to leave them all blank and leave interpretation to the reader.

Glad to see @mapaction.bsky.social is now on Bluesky #gis #humanitarian #emergencyresponse #informationmanagement

Cool how often are you using it? I find dput useful but I’m not using it a lot, so a bit unsure about installing another package. Maybe there are some use cases I haven’t thought about?

I was chatting with a colleague about their #PhD viva on #spatialstats and I showed them this diagram that I made as as part of my thesis to help me understand the building blocks of #spatial models, especially for #inla. #statssky. pg 254 tinyurl.com/3ymp26p3

Today I learned that the R in #RShiny is doing a lot of the heavy lifting in that hashtag. #shinyisnotjustR #Rstats

Knuth, one of the greats in CS history, famously said, "Premature optimization is the root of all evil...in programming." Only a small % of R apps need to be efficient. But they all need to be correct, and often loops etc. are clearer and thus more likely to be correct. Anti-loop mania is bad for R.

Do you have any publicly available that you use on github?