dygraphs | Interactive visualizations of time series using JavaScript | Data Visualization library

You can keep your methods for the selected value color update. Here I provide you the solution with the dropdown color change:

It was fixed when I updated the @swimlane/ngx-datatable package from 11.1.5 to version 16.1.1. Because version 11.1.5 of @swimlane/ngx-datatable package was using old version of "@angular/platform-browser" package. And in the old version DOCUMENT couldn't find it because it was moved to "@angular/common'". If it gives you an error even though you do not use it in your codes, please check your package versions. For example DOCUMENT. You may not be using DOCUMENT but the @swimlane/ngx-datatable package does. And it needs the latest version or the version available.

You can use sliderTextInput for that as well. It has choices argument which can take all the unique values that you want to show and selected argument which will show the first range selected by default.

Solved the problem. It was not Rstudio that needed an update, but I was running an old version of R itself. I am still not sure why the problem persisted on my new work computer and not on my backup computer with the same versions of R, Rstudio and python (reticulate) running, but updating R fixes the problem.

The problem seems to be in this line

You can use lubridate::ymd_hms to convert input$dygraph_click$x in POSIXct format and use format to display the output.

You could create a custom valueFormater:

Unfortunately, there was no one to help me and, after spending many hours, I managed to solve the problem. I sincerely hope that someone will find it useful someday.

My first mistake was using the observeEvent. If you refer to the description on the official website, you can read the following information:

"Use observeEvent whenever you want to perform an action in response to an event. (Note that "recalculate a value" does not generally count as performing an action--see eventReactive for that.) The first argument is the event you want to respond to, and the second argument is a function that should be called whenever the event occurs.

Use eventReactive to create a calculated value that only updates in response to an event. This is just like a normal reactive expression except it ignores all the usual invalidations that come from its reactive dependencies; it only invalidates in response to the given event."

Thus, in my code, I need to replace observeEvent (input $ dir_choose, { with rv_result <- eventReactive (input $ apply, {. You will also need to make the assignment of the final result at the end of this function: rv_result <- rv$txt_file

In the block ### Basic information, then it becomes possible to call a function and assign the result to a variable: dataset <- reactive({rv_result()}). And this is the solution to the first part of the question, when after importing the values, it becomes possible to manipulate them.

The second part of the question was how to use selectInput to control the output table with data.

Everything looks pretty complicated, but the bottom line is that selectInput after selecting elements indicates a list of values and you can check and compare 2 lists. Accordingly, the code that manipulates the table looks like this:

It's solved. The script below works.