fread(logicalYN=TRUE) could avoid detecting 'y'/'n' in header detection?

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
35/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Stale
Tech stack
r
Domain
data

Research direction

Start with the tests referenced from pull request #4564 and trace fread’s header detection and logicalYN type-detection paths. Compare how the first row is classified with later data rows, including headers containing y or n and header=FALSE inputs. Done means false positives are covered by tests and logicalYN can safely be enabled by default without breaking existing cases.

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Description

fread

Follow-up to #4564. There we set logicalYN=FALSE by default for back-compatibility because currently auto-detection of header has a bad interaction with logicalYN -- fread finds y in the header row and thinks "that's non-character data, namely, TRUE", thereby concluding header=FALSE. See the tests in that PR.

Ideally we can disable this parser for the header, but I don't think we have any logic for subsetting the valid parsers for the header only.

We'd also want to think through if doing so will create any undesirable edge cases. The only thing I can think of is something pathological like a file where header=FALSE that consists only of columns named y or n, then we might incorrectly detect header=TRUE based on the string-only data in the first row. AFAICT any realistic example where there are other columns would do fine. But perhaps we can also revisit the header detection logic -- I might think something like "do type detection on row 1; then do type detection on samples of rows 2...N, and compare the inferred types" would be fine.

Anyway, if we can remove these false positives of detecting y --> TRUE, I think we could switch to logicalYN=TRUE by default.

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