Comments (3)
robinhasse
commented on September 2, 2024
I had a hard time tracing a bug in my code, because I misinterpreted documentation of calc_addVariable / calc_addVariable_. I understood that if the argument completeMissing == TRUE the function would just replace implicitly missing data combinations with zero in the internal calculation. What really happens is that the formerly missing data combination with value zero are also added as rows to the output. If this is intended I think the documentation could be clearer here. Eg...
... missing combinations of data are added to the data with 0 before calculation.
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0UmfHxcvx5J7JoaOhFSs5mncnisTJJ6q
commented on September 2, 2024
I had a hard time tracing a bug in my code, because I misinterpreted documentation of
calc_addVariable/calc_addVariable_. I understood that if the argumentcompleteMissing == TRUEthe function would just replace implicitly missing data combinations with zero in the internal calculation. What really happens is that the formerly missing data combination with value zero are also added as rows to the output. If this is intended I think the documentation could be clearer here. Eg...... missing combinations of data are added to the data with 0 before calculation.
Done. 14064ae
from quitte.
robinhasse
commented on September 2, 2024
Cool, thank you!
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Related Issues (18)
- quitte::read.quitte() return object not recognized by tidyr::pivot_wider() as tibble HOT 2
- character.data.frame returns malformed column names HOT 1
- bug in calc_addVariable causing wrong additional output HOT 1
- sum_total() subsets wrong groups
- interpolate_missing_periods {quitte} docu mismatch HOT 1
- calc_addVariable(): problem with "completeMissing = TRUE"
- [Feature request] fast way to read subset of variables into quitte df HOT 3
- add a comment header in mif file with a few lines of metadata (if mif is produced on the cluster)
- warning from replace_column with ambigous mask HOT 4
- Too much filling by completeMissing in calc_addVariable? HOT 2
- write.mif could support append
- inpolate_missing_periods falsly extrapolates in particular cases HOT 1
- default handling of Inf in read.quitte HOT 2
- New variable in calc_addVariable cannot be named as exisitng variable HOT 2
- build fail - depreciation warning from forcats HOT 2
- Requirement for forcats >= 1.0.0 missing
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