monkeylearn 0.2.0

New functions monkey_classify() and monkey_extract() that:
- Accept as input both a vector and a dataframe and named column
- Always return a tibble explicitly relating each input to its classification, allowing for the removal of the MD5 hash
- Have an unnest flag to unnest the output (turn 1 row per input into 1 row per output)
- Have a .keep_all flag to retain other columns if input is a dataframe
- Coerce NULL values and empty vectors returned from MonkeyLearn to NAs
- Include inputs that could not be processed as NAs in the output
- Message the first 20 indices of inputs that are not sent to the API (these now include NA and NULL values as well as empty strings)
- Message the currently processing batch
Bug fixes and improvements to monkeylearn_classify() and monkeylearn_extract()
- monkeylearn_classify() can now accept params
- Fix to messaging when unable to connect to MonkeyLearn API
- Default texts per request is set to 200 now (the recommended number), rather than 20
- Addition of message suggesting that users switch to newer functions
Implementation of ratelimitr. Creation and documentation of two environment variables allowing smarter rate handling when querying the MonkeyLearn API.
Creation of pkgdown website
Programmatic test coverage to re-use common tests for multiple circumstances.
Use of a cowsay monkey when verbose=TRUE.

monkeylearn 0.1.3

Better states the dependency on tibble, it is tibble >= 1.2.
Better handles blank text in input, outputs an empty tibble and a warning if the request is only blank, and a message if only parts of the request are blank.