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As of version 0.9.4 there is not a direct way to achieve this with just he fmt argument or glue strings.

However, it is quite easy to leverage the tidy_custom and glance_custom mechanisms described on the modelsummary website to do just about any post-processing on your estimates and statistics. This gives users infinite possibilities to customize the output format.

For example,

/databricks-datasets is a special mount location that is owned by Databricks and available out of box in all workspaces. You can't browse it via S3 browser, but you can use display(dbutils.fs.ls("/databricks-datasets")), or %fs ls /databricks-datasets, or DBFS File browser (in "Data" tab) to explore its content - see a separate page about it.

In this answer I focus on the errors in your code and try to explain how you could make it work. As explained by @Svante, this might not be the best course of actions for your use-case. In particular, your regex might be too tailored for your known test inputs and might miss cases that could arise later.

For example, your regex consider fields as either strings delimited by double-quotes with no inner double-quotes (even escaped), or a sequence of characters different from the comma. If, however, your field starts with a normal letter and then contains a double quote, it will be part of the field name.

Maybe there was a problem when formatting your question, but the form introducing bads is malformed. Here is a fixed definition for *bads* (notice the asterisks around the special variable, this is a useful convention that helps distinguish them from lexical variables (asterisks around the names are also known as "earmuffs")):

Ok, so firstly you're putting the data in with the wrong orientation. As you can see from the docs

fit(PCA, X; ...)
Perform PCA over the data given in a matrix X. Each column of X is an observation.

you need observations as columns and variables as rows. This may seem confusing given that we normally think of variables as columns, but it makes a bit more sense in the context of the underlying linear algebra. So to get that right, let's start with:

I'm not quite sure what would be an acceptable answer but subset(education, State %in% T2) uses T2 as is and does not use |. Does this solve your problem? It's almost the same approach as Jon Spring points out in the comments, but instead of specifying a vector we can just use T2 with %in%. You say T2 is a data.frame object, but in the data you provided it turns out to be a character vector.

Just add xlim(0,50) to each ggplot call.

Do:

julia> is just the REPL prompt as you said.

One reason to include it in examples is so that the output of the command is shown immediately below the command itself. I think that is the reason for the inconsistency in your example code. The author probably omitted the prompt and output on the first few lines for brevity, but did want to show output from the final line.

Another reason may be to distinguish code which the author has stored in a file from code which is being run on the fly in the REPL. Code which sets up a problem environment is likely run once from the file, whereas code that calls the established functions may be tweaked and executed multiple times from the REPL.

There are no strict rules about this, and you may largely ignore it except to note that the text beneath the prompt is probably output rather than executed code. (Note that it is possible to have multiple input and output lines for one REPL prompt though.)

At the moment the 3rd and 4th models in your MWE overwrite the first two so there are only two elements in the models list, which then gives you the different total number of columns error.

If it is just readability you are after you could add a space after the name in the 3rd and 4th model and the rest should display nicely.