Hello!
I am new to using NBS in R but have used it before with success in MatLab. I am transitioning to R for cost reasons and would like to try to stay on that platform. When I am run NBS using this code:
NBS(control_reward_filtered, irr.parent_NBS_filtered, second.col)
I receive the following error:
Error in :=(eval(sID), seq_len(dim(covars)[1L])) :
Check that is.data.table(DT) == TRUE. Otherw
irr.parent_NBS_filtered.csv
second.col.csv
control_reward_filtered.csv
ise, := and :=(...) are defined for use in j, once only and in particular ways. See help(":=").
When I review the error using help and online it suggests there might be a corruption in the newest version of data.table and I need to revert to an old version. Is there a way to run the NBS package by calling an old version of data.table?
Attaching files called in this code as examples.
Hello!
I am new to using NBS in R but have used it before with success in MatLab. I am transitioning to R for cost reasons and would like to try to stay on that platform. When I am run NBS using this code:
NBS(control_reward_filtered, irr.parent_NBS_filtered, second.col)
I receive the following error:
Error in
:=(eval(sID), seq_len(dim(covars)[1L])) :Check that is.data.table(DT) == TRUE. Otherw
irr.parent_NBS_filtered.csv
second.col.csv
control_reward_filtered.csv
ise, := and
:=(...) are defined for use in j, once only and in particular ways. See help(":=").When I review the error using help and online it suggests there might be a corruption in the newest version of data.table and I need to revert to an old version. Is there a way to run the NBS package by calling an old version of data.table?
Attaching files called in this code as examples.