ggbeeswarm | Column scatter / beeswarm-style plots in ggplot2 | Data Visualization library

I'm trying to plot box plots with normal distribution of the underlying data next to the plots in a vertical format like this:

This is what I currently have graphed from an excel sheet uploaded to R:

And the code associated with them:

I would like to add a regression line from a linear model to a plot in R.

I have created the following sample dataset:

UPDATE I narrowed the problem down to the loop i. because if I just use a specific column ("b") in the code below, it works. Does anyone know what is wrong with i and why the loop wont work?

I have a large dataset where I loop over multiple columns to create graphs. I want to label the top 10% dots in the graph for i(and later on the lowest 10%). I've tried a lot but cannot figure out how to label only the top hits. The label names should correspond to column "label"

in the example I tried it with gghighlight, which does not work.

I have the following data.frame named qq.

I have boxplot and I would like to add pvalues for 4 comparisons across two factors.

Here is the data set:

I am creating violin plot using ggplot in R. I want to create violin plot showing different number count in each plot like this.

I used this code to create plot like this.

How can I split a beeswarm plot by group, similar to this: Split violin plot with ggplot2

But instead of density plots, I would like to get points...

The "calculating the density approach" as suggested by @axeman in the linked question does obviously not work, because beeswarm doesn't use densities.

I have created a graph consisting of three layers (violin, box and beeswarm plots) using the following

This is a follow up on the last question: Split beeswarm plot

I ask it as a new question, because my first question was sufficiently answered. But with my real data, there was suddenly a weird behaviour that I don't understand.

With the previous data frame