edeaR | repository moved to https://github.com/bupaverse/edeaR !! | Network Attached Storage library

I would like to change the color of the plots that bupaR and adjacent packages output. They always use a blue color. So far I have managed to recolor the nodes of a process_map, but I would also like to color the edges and all other plots.

Further, the processmonitR/edeaR package creates dashboards, which I would like to recolor. The colors seem to be hardcoded (see here)

Example output with default colors:

The script below when executed creates a process_map() with a select input. Upon selecting a resource like "r1","r2" etc. we get the corresponding process map. However I want to dynamically pass an input from the selectInput bar and update the process map within R shiny page Snapshot for your reference. Please help.

the script below creates two plots within two boxes in R shiny dashboard page which are aligned to the right of the box, I wish to align these plots center of the box.These packages are the minimum required packages to create the given plots. Please help.

When I run this R shiny script below, I get two plots with a chart for activity path derived from the patients dataset of the bupaR library called trace explorer on the left and a data table to display the activity/trace details. The chart on the left is such,that we observe various paths with sequence of horizontal traces of activities which occur one after the other. When clicked on any box in a particular trace, the trace details are presented on the right table. My requirement is that, when clicked on any box in a particular trace, the "y" or fourth column value should be taken dynamically, and I should get just one column displaying all the activities that occur in the trace. E.g. in the attached image, when clicked anywhere on the bottom most path, I should get one column with activities "Registration", "Triage and Assessment". Please help and thanks.

When I run my shiny app, the mainPanel does not render the process_map image. However, in the RStudio Viewer, the image renders. I have researched this issue and it feels like the problem is with the process_map() call, as I am not having these problems with other calls (simple ggplot/plot). I do not believe outputPlot/renderPlot is appropriate for the process_map() function. However, I am unable to determine the correct call, or a functional work around.

Here is a reproducible example. Thanks in advance for your expertise.