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Hi, maybe not a common thing but in my birds dense datasets I have some missing values for some species in some month. Would be nice to be able to load the whole dataset with all month included. Is there a way that it runs with NAs?
Cheers Jannis
Error in val_df_columns():
! Parameter inputs can't hold missing values.
x Column mean in bird_dens_dt contains NAs.
Run rlang::last_error() to see where the error occurred.
The text was updated successfully, but these errors were encountered:
Hey Jannis, just set those values to 0 instead of NAs. If it has 0 bird density, the output on the other side will just be a 0 as well. You can then exclude those data from your final presentation
see error below
Hi, maybe not a common thing but in my birds dense datasets I have some missing values for some species in some month. Would be nice to be able to load the whole dataset with all month included. Is there a way that it runs with NAs?
Cheers Jannis
Error in
val_df_columns()
:! Parameter inputs can't hold missing values.
x Column
mean
inbird_dens_dt
contains NAs.Run
rlang::last_error()
to see where the error occurred.The text was updated successfully, but these errors were encountered: