Best practices for global/external variables used in a module - shiny - RStudio Community
I wanted to know what others think is the best approach when making a shiny module that uses some functions/variables that in a non-module app would belong in global.R Do you still keep them in global.R? To me that seems to break the isolation and independence of modules, since a module should be explicit about all its inputs and outputs. As a concrete example: in the following app, the module UI and module server use a variable defined outside of it. Here's one way to write it: foodata
Overview Administering RStudio server products often requires you to test changes to your environment, but testing changes can be problematic in production. For example, upgrading R can disrupt dev...
css - Rshiny Table collapse text overflow - Stack Overflow
How do we pass CSS arguments text-overflow: ellipsis or other arguments to renderDataTable in R shiny ? I have uneven text description in columns, by Autowidth the rows and columns are expanded bas...
html - Set the table column width constant regardless of the amount of text in its cells? - Stack Overflow
In my table I set the width of the first cell in a column to be 100px. However, when the text in one of the cell in this column is too long, the width of the column becomes more than 100px. How cou...
Setting column width in R Shiny DataTable does not work in case of lots of column - Stack Overflow
I need to set the column width of a DataTabe in an R Shiny app. I went through the Data Table Options in the documentation. Also, I reviewed this and this questions in Stackoverflow. Setting width
Parameterize an R Markdown report using Shiny components — yml_params • ymlthis
R Markdown lets you add dynamic parameters to your report using the params YAML field (see the R Markdown book for examples); parameterized reports are also used in RStudio Connect. The values of these variables can be called inside your R Markdown document using params$field_name. There are several ways to change the values of the parameters: manually change the YAML, use the params argument in rmarkdown::render(), or knit with parameters, which launches a Shiny app to select values for each. yml_params() accepts any number of named R objects to set as YAML fields. You can also pass argume...