I work on a Shiny app with multiple reactive variables as well as output objects scattered in numerous tabItems.
The idea behind this app is that on the first page you download a selected dataset, through an action button, that will be used by the entire app. After having created multiple reactive values and output objects when the user will explore the app, I would like to know if there is a simple way to re-initialize the application (reactive variables, output objects) as soon as we download another dataset thanks to the previous action button I have mentionned earlier.
In fact, I want to delete the value of reactive variables and output objects from the memory every time I click on this specific button and DL a new dataset.
I want this app to be the same as it is when I launch my code for the first time.
Regards
Thibaut
I tried to use reactive values a lot but it has to be done for every variables.
Perhaps, there is a simpler way.
Related
I am looking to get the values from a reactive function, based on a specific set of inputs, but without the dashboard open or visible. Is this possible?
I have two possible solutions, both of them I am not sure are possible, and which of the two would be better. Also, I do think there could be a better solution.
Start the dashboard at a specific time and write away a csv with the required information. I don't know how to put the input values to the right settings though (they would be different from the normal initial settings). Hopefully start this without a visible endpoint (headless chromedriver for example).
Within Shiny, do a check if it's a specific time. If that's the case, change all inputs to the right settings, and export/do something with the required values. I don't prefer this, as there will be users using the dashboard at that time, and I don't want to disturb their work.
To give a bit more context, I would like to obtain values/dataframes from several dashboards at a specific time. These values are calculated via a chain of multiple reactives and inputs. I cannot trust that these dashboards are already running, so I need to start them.
I have built a shiny dashboard which has a set of data loaded in as a data frame. It uses dplyr to then select columns, mutate new columns if needed, apply a set of filters and then plot using a variety of high-level ggplot2-based packages.
We try to do the data load, select and mutate just the once. The filtering is sat in a reactive variable, accessed by the plot, and is based upon different input values.
As far as I see this is a pretty standard and typical use case.
I'm wondering whether anyone could advise on workflow patterns to make the output more responsive.
There are two scenarios I encounter with this writing pattern which appear to cause significant user interface delay which I'd like to avoid:
Firstly, when the dashboard first loads it tries to plot the charts using NULL data. I've found I can get around this by using if(is.null(my_data_frame)) and returning geom_blank() rather than our plot. Is there a neater / faster way to do this?
Secondly (and more challengingly): to the right of my plot are a (potentially large) set of filter options to allow the user to analyse subsets. If the user clicks several of these options in rapid succession, Shiny will repeatedly recalculate our reactive() value and replot the chart for each click event: where the user actually just needed to set or clear 5 options. Is there a way to prevent this happening - so if the recalculation isn't complete we don't continue with the plot in progress as we've just made the data stale? Or do you think about grouping options with an update button to prevent this?
In response to your second bullet. Check out shiny's debounce/throttle capabilities. These should slow down the reactive response so your user can finish with the UI control before the chart or presentation element recalculates.
For your first question, try using the req function inside your reactive block. If your plot is waiting on the data frame to load, you can put the code for loading the data frame in a named reactive block (it seems like you may have already done this), then pass that to req. This will prevent the plot from attempting to render until it receives a valid value for whatever you passed to req.
For the second, I'd recommend wrapping your plot render in an observeEvent and having an 'Update' button, if you typically expect users to change multiple options between desired plot updates.
Finally, for added performance, I just saw today that Shiny v1.2.0 has either just been released or is about to be, the major feature of which is plot caching. You can find more details HERE.
I am attempting to refresh data from excel csv files as well as from webservice calls for a shiny app that i created. I understand the concept of invalidate later and reactivevalues(). However, there are many dataframes that rely on the initial ones created from the csv files and webservice calls and in order to update all of the downstream lists and dataframes I would have to put them all within observe blocks, make them globally defined since they are not within the server block, and prepend values$data to each dataframe - assuming I initialized values <- reactivevalues(). Is there an easier way to go about this to make sure all downstream dataframes are updated?
I have a plot that is frequently updated in my shiny application. A reactive function xyClick(), that depends on input$plot_click, transforms the click values in useful things, and gets called to fill a tableOutput object with several info connected to the clicked point.
Shiny seems to reset click events every time the plot is updated, even if it is only the colors that have changed. I do not want this! I need the click values to be kept the same, up to when a new click is issued.
Which is the best way to accomplish this? Should I find a way to store the previous click and update it when a new click is issued? Should the stored click be a reactiveValue, and not a reactive() expression?
In my shiny application, I have noticed that when I have multiple tabs, each time I click on the tab, the output is recalculated. I wasn't expecting this behavior since no inputs were changed. How can I keep it so that it only recalculates once an actual input is changed?
You can prepare your calculataions prior and save them to name.rda file with save function, and then add a line load("name.rda") at the beggining of the server.r file - the data will be loaded only at the beggining of your application. Can't help much without your code.