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There are boolean expressions following each when clauses while expression after case clause is of mismatching type.

Indeed you don't need an expression following case clause for your aim of current case, then just get rid of that such as

As @M. Deinum said, it is not necessary to start the Spring context to test what I wanted. I will post the solution here just as a reference. I am also using the system-lambda dependency to catch System.exit(-1).

First let me explain that, for Gibbs models, the likelihood is intractable, so anova.mppm performs the adjusted composite likelihood ratio test, not the likelihood ratio test. However, you can essentially treat this as if it were the likelihood ratio test based on deviance differences.

1. whether each individual id shows significant regularity

I am aware I could build separate ppm models for each id to test for significant regularity in each id, but I am not sure this is the best approach.

This is appropriate. Use ppm to fit a Strauss model to an individual point pattern, and use anova.ppm to test whether the Strauss interaction is statistically significant.

1. whether some groups of ids show significantly stronger inhibition than other groups, for example, whether ids 1-7 are are significantly more regular than ids 8-10.

Introduce a new categorical variable (factor) f, say, that separates the two groups that you want to compare. In your model, add the term f:str to the interaction formula; this gives you the alternative hypothesis. The null and alternative models are identical except that the alternative includes the term f:str in the interaction formula. Now apply anova.mppm. Like all analyses of variance, this performs a two-sided test. For the one-sided test, inspect the sign of the coefficient of f:str in the fitted alternative model. If it has the sign that you wanted, report it as significant at the same p-value. Otherwise, report it as non-significant.

1. perform pairwise comparisons of regularity between different ids.

This is not yet supported (in theory or in software).

[Congratulations, you have reached the boundary of existing methodology!]

So it looks like the issue was caused byt the fact that I didn't have a limit or provide LargeResultDataset and LargeResultTable parameters. I hope someone finds this useful since this is a very misleading error that nobody has documented.

Simba JDBC connector for BigQuery does not have a Maven repository. The jar files need to be downloaded manually right now.There is an ongoing feature request that is being worked on. However, we cannot provide an exact ETA on when that feature will be available.

You can fix this by adding S3 bucket permission in the QuickSight console.

Go to:

Manage QuickSight -> Security & permissions -> Add or remove -> In S3 -> Details -> Select the bucket you want to query -> Update

In this case, the reason that the file cannot be found is that the driver has not been compiled for ARM. This post on Github illustrates the issue.

We can confirm by running file on the library. It yields...

Dot notation works only for columns types as struct<…>. You can do that for JSON data, but judging from the error and your description this seems not to be the case. I assume your column is of type string.

If you have JSON data in a string column you can use JSON functions to parse and extract parts of them with JSONPath.

You do not need the /bin/sh -c wrapper here. Your setup reads the first args: word, rqworker, and parses it as a shell command, and executes it; the remaining words are lost.

The most straightforward thing to do is to make your command, split into words as-is, as the Kubernetes command: