shiny | Shiny reflections for mobile websites | Data Visualization library

I have the following piece of code in a shiny app. My goal is to generate the choices for the "cutFamily2" selectInput widget based on what the user chose for the "machine2" selectInput.

If I use corte2() instead of eval(paste0("corte",2)) on the observerEvent the app runs properly. The problem is that I want to use the paste0() because the integer "2" in eval(paste0("corte",2)) will be an argument of a function (function(data,n)) so I can easily generate corte1, corte2 and so on.

When I run it using eval(paste0("corte",2)) I am getting the "error in $: $ operator is invalid for atomic vectors" and the app won't even run. I tried to use enframe() to convert it to a tibble, then the app runs, but I get a "Unknown or uninitialised column: CutFamily" error and the SelectInput choices will be empty. I also tried [[ instead, but nothing.

Any ideas on how to solve the problem?

I'm trying to make custom valueboxes in R Shiny. I've discovered how to change the color of the background, but something is making my value boxes stubby and leaving large gaps in between them. I'd like to display 3 on a line ideally, but even with a width of 4, they appear squished. How can I get them to have more of the red with just a small gap of white in between.

Below is a reproducible example as well as a screenshot.

I'm doing a project on Shiny where there are several drop-down menus. The options contained in the menus are stored in a data frame and when running the app you have the option to add more data to the data frame. The behavior I expected was that the options in the drop-down menu would automatically update with changes in the data frame, but this doesn't happen.

Is this possible to be done in Shiny? If yes, how?

Here's a code with an example of how I'm doing.

I'm trying to save and load state of a shiny app using bookmarks. However, it doesn't work and I wonder whether it is because of inserting dynamic UI. If there are other ways to save and load dynamically rendered ui and resulting output, that would be great too. I don't know where to start and this is as far as I could come.

Simple example

• As of Shiny 1.5.0, we are encouraged to use moduleServer rather than callModule.
• However, it appears as though we can't pass additional parameters to moduleServer (unlike callModule).
• This is an issue because I'd like to pass the parent session as a parameter to moduleServer, so that I can correctly reference the parent session in order for updateTabsetPanel to work correctly inside a renderUI dynamic output.

This post demonstrates how to use callModule to pass the parent session into the module so that updateTabsetPanel can reference the parent session and update it accordingly. I used that approach to create a minimal example here. There are two tabPanels, and we are trying to navigate to the second via an actionLink in the first. The first_server module is called with callModule, and we are able to pass the parent session parameter as an additional argument, allowing us to reference it in the updateTabsetPanel call in first_server. Clicking the actionLink then takes us to the second module UI, as expected:

When running the first "almost MWE" code immediately below, which uses conditional panels and a "renderUI" function in the server section, it only runs correctly when I comment out the 3rd line from the bottom, observeEvent(vector.final(periods(),yield_input()),{yield_vector.R <<- unique(vector.final(periods(),yield_input()))}). If I run the code with this line activated, it crashes and I get the error message Error in [: subscript out of bounds which per my research means it is trying to access an array out of its boundary.

I've been trying to resolve this issue for a while now and I can't seem to wrap my head around it. I've checked previous threads and they haven't helped, I'm guessing it's vastly different for each code, and I need some help understanding what I'm doing wrong here.

This is an image of what the error looks like, I've used the Package::function method instead to access the masked functions so I don't think that's the issue.

Here's also a GitHub link: https://github.com/TheoLs/MHAnalysis to the shiny app, please don't go easy on me, I want to improve so tell me if there's something I'm doing wrong, even if it's not related to the issue, and I'll try and fix it.

Any help is welcome, and thank you in advance.

I'm running gitlab-ce on-prem with min.io as a local S3 service. CI/CD caching is working, and basic connectivity with the S3-compatible minio is good. (Versions: gitlab-ce:13.9.2-ce.0, gitlab-runner:v13.9.0, and minio/minio:latest currently c253244b6fb0.)

Is there additional configuration to differentiate between job-artifacts and pipeline-artifacts and storing them in on-prem S3-compatible object storage?

In my test repo, the "build" stage builds a sparse R package. When I was using local in-gitlab job artifacts, it succeeds and moves on to the "test" and "deploy" stages, no problems. (And that works with S3-stored cache, though that configuration is solely within gitlab-runner.) Now that I've configured minio as a local S3-compatible object storage for artifacts, though, it fails.

I want your suggestions to start a simple software developement. I'm an intern student and i want to build, preferably, something that can be acceced with a user authentication to a specific number of users < 5 so that each one of them can access the analysis of the data that concerns him. Preferably :

• I want my users to get to the app through the browser
• The users are those who will provide data to the app through an upload file button so this latter can output the whole analysis
• the app should have a professional look

I'm supposed to work with these four-five peapole to determine what they want to see so i can prepare all the analysis code that corresponds to the right feeded data. genrally the data will have csv excel format.

I've start working with R shiny then I built a single shiny app for control and mangement director that contains a dahsboard with analysis/viZ elements. Then i figured out that I cannot add the feature of multiple users and neither the authotication feature. then I've start learning django but i realized that it's quite harder to do it in a month. I searched for django-plotly-library but I always hesitate to work and learn until the end.

well, now i'm open to learn anything that can solve this issue. I've been hesitating for a month to choose the right technology. I appreciate your suggestions and remarks.