This package is part of the project—Tidy data structures and visualmethods to support exploration of big temporal-contextdata,which has been participated in Google Summer of Code 2017 (gsoc), forRproject for statistical computing.

A new functionframe_calendar()[hereandhere]in thesugrrants package has been developed and documented forcalendar-based graphics. I have also written a vignette[sourceandreaderview],which introduces and demonstrates the usage of theframe_calendar()function.Many unittestshave been carried out to ensure the expected performance of thisfunction. The function implements non-standard evaluation and highlightsthetidy evaluation in action. The initialrelease (v0.1.0) of the package has been published onCRAN during the gsocsummer time.

I have initialised a new R packagetsibble for tidy temporaldata, as part of the project. Thetsibble() function constructs a newtbl_ts class for temporal data, and theas_tsibble() helps toconvert a fewts objects into thetbl_ts class. Some key verbs(generics) from thedplyr package, such asmutate(),summarise(),filter(), have been defined and developed for thetbl_ts data class. Thetsibble package was highly experimentalover the period of the gsoc[commits],and these functions are very likely to be changed or improved in thefuture.

A new packagerwalkr has beencreated and released onCRAN during the gsocsummer. This package provides API to Melbourne pedestrian sensor dataand arrange the data in tidy temporal data form. Two functions includingwalk_melb()andshine_melb(),have been written and documented as the v0.1.0 and v0.2.0 releases onCRAN. The majority of the code for the functionrun_melb()has been done, but the interface needs improving after the gsoc.