rating | true Bayesian rating system with scope and cache | Recommender System library

I'm interested in adding grouping labels above my ggplot bar charts. This feature exists for data visualizations such as phylogenetic trees (in ggtree), but I haven't found a way to do it in ggplot.

I've tried toying around with geom_text, and geom_label, but I haven't had success yet. Perhaps there's another package that enables this functionality? I've attached some example code that should be fully reproducible. I'd like the rating variable to go over the bars of the continents listed (spanning multiple continents).

Any help is greatly appreciated! Thank you!

P.S. pardon all the comments - I was writing a teaching tutorial.

I have been using github actions for quite sometime but today my deployments started failing. Below is the error from github action logs

So I'm using the smui-accordion component and I just can't figure out how to remove it's padding! I've tried putting everywhere zero padding but to no avail...

That's my code for the widget

please, I'm learning a VueJS 3 and I have probably begineer problem. I have warn in browser developer console like this one:

The Message is:

It was working fine before I have done nothing, no packages update, no gradle update no nothing just created new build and this error occurs. but for some team members the error occur after gradle sync.

The issue is that build is generating successfully without any error but when opens the app it suddenly gets crash (in both debug and release mode)

Error

The following is an example of items rated by 1,2 or 3 stars. I am trying to count all combinations of item ratings (stars) per month.

In the following example, item 10 was rated in month 1 and has two ratings equal 1, one rating equal 2 and one rating equal 3.

I am currently having issue with the implementation of the Metropolis-Hastings algorithm.

I am trying to use the algorithm to calculate integrals of the form

In using this algorithm, we can obtain a long chain of configurations ( in this case, each configuration is just a single numbers) such that in the tail-end of the chain the probability of having a particular configuration follows (or rather tends to) a gaussian distribution.

My code seems to be messing up with obtaining the said gaussian distributions. There is a strange dependence on the transition probablity (the probablity of picking a new candidate configuration depending on the previous configuration in the chain). However, if this transition probability is symmetric, there should be no dependence on this function at all (it only affects speed at which phase space [space of potential configurations] is explored and how quickly the chain converges to the desired distribution)!

In my case I am using a normal distribution transition function (which satisfies the need to be symmetric), with width d. For each d I use I do indeed get a gaussian distribution however the standard deviation, sigma, depends on my choice of d. The resulting gaussian should have a sigma of roughly 0.701 but I find that the value I actually get depends on the parameter d, when it shouldn't.

I am not sure where the error in this code is, any help would be greatly appreciated!

I have a query result with the selected DB raw result and I need to add another where between clause to that query with the selected DB raw result. my query is