Hi all! I'm new to aggregate and look forward to meeting everyone tomorrow.
What I'm working on:
I work in a research lab at OHSU that collects samples from patients with leukemia, analyzes the samples, and stores the data in a large relational database. I am trying to semi-automate a couple of different types of reports of the data (generally for an audience of non-R users):
- Drug screening report to email to external collaborators (either as revealjs slides or html report with ggiraph widgets)
- Monitor for internal purposes how many samples of different types have been collected over specific time periods (using Shiny app)
Code question:
In my Shiny app, I am trying to pre-select an option in checkboxGroupInput using selected =. It should be straightforward, but I keep getting the following error message: Error in if (inline) { : argument is not interpretable as logical
The app works fine if I leave out selected =, so I'm not sure what's going on. I can show my code at the meeting.
General question:
I am new to Shiny and am confused by the many different flavors of Shiny reports. Examples:
I was wondering which ones you all prefer and why.
Hi all! I'm new to
aggregateand look forward to meeting everyone tomorrow.What I'm working on:
I work in a research lab at OHSU that collects samples from patients with leukemia, analyzes the samples, and stores the data in a large relational database. I am trying to semi-automate a couple of different types of reports of the data (generally for an audience of non-R users):
Code question:
In my Shiny app, I am trying to pre-select an option in
checkboxGroupInputusingselected =. It should be straightforward, but I keep getting the following error message: Error in if (inline) { : argument is not interpretable as logicalThe app works fine if I leave out
selected =, so I'm not sure what's going on. I can show my code at the meeting.General question:
I am new to Shiny and am confused by the many different flavors of Shiny reports. Examples:
I was wondering which ones you all prefer and why.