Hey lterdatasampler team!
I am using the nwt_pikas dataset for an LTER training and noticed a small bug in one of the columns. The "sex" column is a factor with only one level so every row is either "male" or NA. I'd guess that all the NA values were female pikas but I could also see a world where it wasn't always possible to identify the sex of the individual (maybe sex determination is easy with pikas so all the NAs might just be "female".
Regardless, it would be great if (1) those NA values were the actual sex for those individuals and (2) it was a character rather than a factor (a more generic data class would--I think--be more flexible for a range of contexts.
Thanks for all your work in building this package!
Hey
lterdatasamplerteam!I am using the
nwt_pikasdataset for an LTER training and noticed a small bug in one of the columns. The "sex" column is a factor with only one level so every row is either"male"orNA. I'd guess that all theNAvalues were female pikas but I could also see a world where it wasn't always possible to identify the sex of the individual (maybe sex determination is easy with pikas so all theNAs might just be "female".Regardless, it would be great if (1) those
NAvalues were the actual sex for those individuals and (2) it was a character rather than a factor (a more generic data class would--I think--be more flexible for a range of contexts.Thanks for all your work in building this package!