datacamp / datacamp/rdocumentation-2.0
Filtered dataframe causes critical error
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Description
Hi,
I am running a fit using nlsLM, matching a function against a tibble of observed data.
The function runs fine on a particular dataset "data", but if I try to run it on a subset "data_subset" (subset using a filter statement) I get the following error:
"Error in model.frame.default ... invalid type (list) for variable"
The two tibbles look identical to me, using str(data) and str(data_subset), and I cannot work out where the list is coming from.
I was wondering if anyone had encountered this problem before and what I can do to resolve it?
Parmesh
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Reproduce the nlsLM fit with the original data and the filtered data_subset, then inspect the model.frame.default error and the structures reported by str(). Done means identifying why the filtered tibble supplies a list variable and documenting a verified resolution.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100