I’m working on a small side project where I analyse daily letter patterns, and I’ve been cross-checking some of the results with a tool similar to a daily spelling challenge game.
The odd thing is that my R scripts occasionally show different letter-frequency counts than what I see in that external tool. It’s not wildly off, but enough to make me wonder if I’m handling normalization or tokenization inconsistently—especially when filtering short fragments or ignoring repeat letters.
Has anyone here dealt with discrepancies like this when comparing text-processing outputs to external reference tools? I’m not sure whether my issue is with how I’m parsing the data or if these variations are to be expected.
Would appreciate any thoughts or debugging angles.
Welcome to the forum.
Can you show us what you are doing?
This may be of some use.
To show code, copy the code and paste it here between
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This gives us formatted code that we can copy, paste and run . Often a person here does not have the time to type out code to test it and find a problem.
A handy way to supply data is to use the dput() function. Do dput(mydata) where "mydata" is the name of your dataset. For really large datasets probably dput(head(mydata, 100) will do. Paste it here between