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A major version of readr was released this morning. Any objections if REDCapR requires that at least version 2.0 of readr (currently, it has to be >- 1.3.1)?
readr now uses the same mechanism that's been in vroom for 2 years. In non-REDCap work, I've been using vroom for big csvs most of that time, and have liked it. But it has some nonconventional retrieval strategies; I don't think will help REDCapR's situation where the dataset has already been retrieved from the server and is in RAM. So I want readr to act conventionally by setting the new force_lazy argument to TRUE. Therefore REDCapR will need to require that 2.0.0 of readr is installed.
Not only will this specific argument be addressed, I think it will reduce corner cases. readr is such a big piece of readr, because that's the component that converts REDCap's text into an R data.frame. I'm not wild supporting two different types of conversion engines.
The text was updated successfully, but these errors were encountered:
A major version of readr was released this morning. Any objections if REDCapR requires that at least version 2.0 of readr (currently, it has to be >- 1.3.1)?
readr now uses the same mechanism that's been in vroom for 2 years. In non-REDCap work, I've been using vroom for big csvs most of that time, and have liked it. But it has some nonconventional retrieval strategies; I don't think will help REDCapR's situation where the dataset has already been retrieved from the server and is in RAM. So I want readr to act conventionally by setting the new
force_lazy
argument toTRUE
. Therefore REDCapR will need to require that 2.0.0 of readr is installed.Not only will this specific argument be addressed, I think it will reduce corner cases. readr is such a big piece of readr, because that's the component that converts REDCap's text into an R data.frame. I'm not wild supporting two different types of conversion engines.
The text was updated successfully, but these errors were encountered: