Comments (5)
I see. I'll go with option A in this PR.
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@DavisVaughan: Just as a heads up, I'm currently working on these functions in a local feature branch.
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Sounds good. I see for the required Params you changed the default from nothing to null. I see the reason you did that (so you can pass to the validation function) but I'd like to ensure the user knows it's required ahead of time. We could either
A) add "required" by the parameter in the documentation
B) restructure the argument checking to be
if(is.missing(search_id)) stop(required_msg, call.=FALSE)
validate_required_param(search_id)
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The function validate_series_id()
will throw the error if the user leaves series_id = NULL
.
> fredr_series()
Error: Argument `series_id` must be supplied.
I don't think there are any endpoints where series_id
is an optional parameter.
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I guess im saying, if i was a user and was trying to use this pkg for the first time, how do I know what params are required in the function call the first time I use it? having all of the optional params as param = NULL
and the required params as param
is a clear way to do that. Or just add it in the docs as "required param" and leave param = NULL
for the required params.
Just trying to be uber user friendly and not have the only way they can figure out what is or is not required be running into an error (even if its a helpful one!)
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Related Issues (20)
- Unable to Install (Broken Dependency?) HOT 2
- Support for FRED Maps HOT 3
- Option to select Seasonally Adjusted Observation HOT 1
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- Pagination HOT 1
- Encoding error with fredr_series_observations HOT 11
- Better test environment for API requests HOT 3
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- Getting fredr back on CRAN HOT 24
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- fredr appears to be completely broken on my R setup HOT 6
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