so theres a lot of different variables that need to be called from different datasets for these functions.
And if you get one wrong the warning just gives the generic replacement zero but should be x long.
Maybe we should add in a check to the beginning of the function that makes sure those variable names exist in the appropriate datasets and if not chuck a warning saying this variable does not exist in this dataset, please double check.
On top of that, cluster names dont always match between the cluster counts file and the survey file (i know, pain, pain, so much pain) - not sure if its worth chucking a warning about how many match or dont?
so theres a lot of different variables that need to be called from different datasets for these functions.
And if you get one wrong the warning just gives the generic replacement zero but should be x long.
Maybe we should add in a check to the beginning of the function that makes sure those variable names exist in the appropriate datasets and if not chuck a warning saying this variable does not exist in this dataset, please double check.
On top of that, cluster names dont always match between the cluster counts file and the survey file (i know, pain, pain, so much pain) - not sure if its worth chucking a warning about how many match or dont?