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This is how my class looks. My code compiles successfully but when I run it, it crashes and stops.

I am facing problems with a line (indicated with hashes below in Global.R). I'm currently working on a finance related R shiny app. One of the tabs includes a checkboxgGroupInput which lists all the columns of my source file except Date, which are the names of stocks/indexes which I can select to be included in the ggplot below.

Sample dataset of source_file would look something like this:

In this case, the check box would load up 5 options, Index 1 to Index 5. I envision that I will be able to select Index 2 and 3, and that would generate a plot involving the 2 variables selected (Index 2 and 3). However, I'm unsure as to how I should be writing the code with reference to the output of checkboxGroupInput

I tried to do the following to reference the first and last values of the output from checkboxGroupInput but it seems to not be working.

I'm writing an R shiny application. I'm facing much trouble, particularly the checkboxGroupInput function. I'm hoping that I will be able to create a dynamic list that will automatically list down all columns except the first column, source_file$Date of a dataset named source_file, and I'm not entirely sure on it. Would greatly appreciate any help you can provide!

Sample dataset of source_file would look something like this:

The end goal is that I hope the checkboxGroupInput function will be able to automatically read all columns starting from the second column (ignore Date). In this case, the check box would load up 5 options, Index 1 to Index 5. It should be replicable such that it can load any number of indexes depending on the data specified. I tried hard-coding each individual index in but it's definitely counter-intuitive and so frustrating to do.

I have following problem using plotly graph objects: I am currently working with airline-data. My aim is to create a bubble / scatter plot where I can show which airline, traveled how far and how many flights they needed.

The problem is, that I can't get the points to match the legend correctly.

I constructed 10,000 random portfolios for portfolio optimization. The output looks something like this: (only the first three rows)

I am using Python's Queue.PriorityQueue (in an implementation of the A* algorithm, though I'm not sure if this is relevant). I'm using it to hold objects that are non-comparable (an object class provided by a professor that I cannot modify), and Python throws an error when it tries to add an priority-object tuple (ex. pq.put(1, object)) when it's already holding a tuple with the same priority.

This is the relevant part of the error:

I am having some troubles to plot the results from a One-class SVM that I have programmed. I have tried different examples found on the web, but with no good results at all. I have the following small dataset where id is the identification of a sample and f1 to f9 are certain features:

Libraries being used

I've been trying to find a way to get the apllication/ld+json contents and saving it to a local object. What I want to have is save it to an object, and in my program I would be able to console.log(data.offers.availability) which will result in logging: "InStock", and this for each of the data values.

I currently have this: