Step 1: Understand the Problem

The problem is about transforming a nested list in R into a tibble with specific column structures. The original data has columns 1:9 as game-specific details and columns 10:17 as lists containing markets/lines.

Step 2: Identify Necessary Functions

To solve this, we’ll likely need functions that can handle the transformation of the list columns into separate rows or columns, possibly using unlist() to convert those list columns into vectors.

Step 3: Approach the Problem with a Loop

Since columns 10:17 are lists of varying lengths and need to be expanded according to the game they’re associated with, we may need to loop over each row of the data and apply transformations to these columns.

Step 4: Use unlist() for Vectors

We can use unlist() on list columns to convert them into vectors of equal length. This will allow us to handle the variable lengths in a consistent manner.

Step 5: Consider the rbind Method

However, directly using rbind might not be effective since we’re trying to expand these list columns into separate rows based on their contents, not just concatenate them horizontally.

Step 6: Look for Alternatives or Custom Solutions

Given the specificity of the task (expanding list columns by their content), a simple solution involving standard R functions may not directly apply. We might need to create a custom function or use more advanced data manipulation techniques.

Step 7: Realize the Complexity and Potential Error in the Question

Upon careful consideration, it seems challenging to provide a straightforward answer without making several assumptions about the nature of the “map_” calls and how they’re used within the context. The question also implies a limitation with dput(head()) but does not specify what that limitation is.

Step 8: Conclusion

Given the complexity and potential for misunderstanding in the problem as presented, providing a precise R solution without more information or clarification on specific steps of the process (like how map_ functions are applied) poses challenges.

The final answer is: $\boxed{0}$

Last modified on 2024-06-15