Luis Morís Fernández
Luis Morís Fernández
Have you considered? ``` testServer(function(input, output, session) {}, { do.call(session$setInputs, list(arg = "a")) }) ``` Not as clean, but it should be effective.
For those looking for a simple and pipable solutions, albeit only covers a simple cases but they can be modified to cover more general cases. The easiest solution here is...
Hi everyone, I am facing the same problem when trying to plot some error bars calculated independently and stored in another dataset as @ijlyttle describes above. When trying PIB-David's approach...
Hi @PBI-David thanks for your help! I was just using the link you provided in https://github.com/vega/vega-lite/issues/8157#issuecomment-1126669006 I could generalize from there with no problem, thanks again! [Editor](https://vega.github.io/editor/#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)
An alternative could also be: ``` { "$schema": "https://vega.github.io/schema/vega-lite/v5.json", "usermeta": { "embedOptions": {"renderer": "svg", "actions": true, "defaultStyle": true} }, "description": "Faceting with different datasets", "datasets": { "somedata": [ {"a": 1,...
Hi all. I am probably very late to answer this one, but just for reference. The `add_rule` method also accepts custom functions to makes this checks. Find below a functional...
Hi everyone! I have found a similar issue when creating my apps. My issue is not solved by the setting data approach because I want to change both things, data...