coercible | Powerful , flexible and configurable coercion library

I am working with R. Using a tutorial, I was able to create a statistical model and produce visual plots for some of the outputs:

I want to associate _ with coerce yet I can't give a type signature to it.

Is there any trickery to get around that ?

Though I tried to search whether it is duplicate, but I cannot find similar question. (though a similar one is there, but that is somewhat different from my requirement)

My question is that whether we can use string manipulation function such substr or stringr::str_remove inside .names argument of dplyr::across. As a reproducible example consider this

In the current implementation of Coercible can we quantify over "representational preserving type constructors", to extract a safer proof in the code below

I digitized some roads as multilines, hospitals as multipoints, boundary as polygon, then created how many roads intersect using the Simple Features (SF) library by getting latitudes and longitudes from google maps and plotted it using ggplot2 it worked well.

I then wanted to check and plot how many roads intersects with a hospital and created a 200mtr buffer around it and tried using st_intersects() function for the same, using this only gave 1:1 as answer and a message saying

Sparse geometry binary predicate list of length 1, where the predicate was `intersects' 1: 1

And when I tried plotting it, using ggplot it gives this error message

Error: data must be a data frame, or other object coercible by fortify(), not an S3 object with class sgbp/list Run rlang::last_error() to see where the error occurred.

I am pasting my code below,

I am trying to create a histogram for the wage variable

My code is

I want to code a ggplot2 visualization as a function, and then apply the function on each row of a dataframe (I want to use apply to avoid a for loop, as suggested here.)

The data:

I am trying to graph the residual effects of the mixed effects model using the ggplot2 function. However, after performing a search I found some functions available but what seems to me is that for the function nlme they are not working.

The graphs that I intend to make are those of the example below:

The data is here.

Data: https://drive.google.com/file/d/19mykz4B7jkTilbtwPQb3NUI09YZwohhs/view?usp=sharing

The computational routines that I tried initially are below, see the errors that are appearing when executing the function in ggplot2.

I am trying to visualize qualitative grade based data, and I would like to order the grades from worst to best. The current ordering seems to be lexicographic one. How can I change this? Unfortunately I do not know how to share a working example: the column G3.x is full of letter based qualitative grades. When I tried the code with an example test_data <- c("Excellent", "Very Good", "Good", "Sufficient", "Weak", "Poor") I get errors: Error: data must be a data frame, or other object coercible by fortify(), not a character vector