shinycustomloader | Add a custom loader for R shiny | Data Visualization library

I have the shiny app below in which I use shinycustomLoader and shinycssLoader to create loading messages. I would like to know if there is a way to add more than one messages after spcific amount time. Foe example the first message will be "Analyzing" and after 15 seconds of loading it will be replaced by "Almost there". If there is another method or package that can do this I would be happy to know.

I have not found a solution to my question, this SO thread came close but not entirely.

I have produced a simple app, which contain several radioButtons(). Logical to the basic concept of the app, some of them are empty as in radioButtons( ... , selected=character(0)) whereas others have preselected values.

Importantly, all radioButtons() must have a selected value before the actionButton() initiate further analysis.

Question: how can one design an actionButton() that (1) returns an error in case of non-selected radioButtons() and (2) returns what radioButtons() that contain non-selected values, specifically?

Expected output

Written with

I am completely new to shiny, which I am trying to learn by building this simple app.

It currently prints two different ggplots based on specific input-values after the actionButton() is clicked. However, I find the graphic a bit off when the two plots are printed next to each other.

Question: how can I integrate a Tabset that only prints when the actionButton() is clicked? The Tabset should contain two tabs - one with each plot.

My app currently looks like this

Which prints the two plots when the actionButton() is clicked:

I would like something like this to print:

and

In ui, I tried multiple variations of:

I'm trying to adapt one of the Rshiny app examples for my own use, (treesplit) but I'm struggling to incorporate my own data into the functions. I believe I have successfully incorporated my own data, but the plot itself isn't displaying. The webpage updates with the new space for the plot, but doesn't actually display it.

The functionality is as follows: Choosing yes will take you through the original app's pipeline. Choosing No will take you through my branch.

Choose "No", Then choose "Single", click on any row in the dataset, and click submit. The serverside has a hardcoded test dataset that will be used for the plot function.

I'm hoping someone can see whatever obvious thing I missed. (Pardon all of the libraries, they shouldn't be needed for the example I provided)

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