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- RFU values are rounded to 1 decimal during in `write_adat()`,
via a call to `apply()`, which expects a 2-dim object when
replacing those values.
- a single SOMAmer `soma_adat` will break unless `drop = FALSE`
- instead of this fix, convert the entire RFU
data frame to a matrix (which maintains original dimensions)
and use vectorized format conversion via `sprintf()`
- in theory this should be faster because `sprintf()`
is only called once on a long vector, rather than
1000s of times on shorter vectors.
- fixes#51
- RFU values are rounded to 1 decimal during in `write_adat()`,
via a call to `apply()`, which expects a 2-dim object when
replacing those values.
- a single SOMAmer `soma_adat` will break unless `drop = FALSE`
- instead of this fix, convert the entire RFU
data frame to a matrix (which maintains original dimensions)
and use vectorized format conversion via `sprintf()`
- in theory this should be faster because `sprintf()`
is only called once on a long vector, rather than
1000s of times on shorter vectors.
- fixes#51
This is likely an corner case resulting from the
apply()
call expecting a 2nd dimension object but returning a vector ... seedrop = FALSE
to[
.Timing solution:
Thanks for reporting 🥳!
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