slide(), tile(), stretch()
Temporal data often involves moving window calculations. Several functions in the tsibble allow for different variations of moving windows using purrr-like syntax:
+Temporal data often involves moving window calculations. Several functions in tsibble allow for different variations of moving windows using purrr-like syntax:
slide()/slide2()/pslide(): sliding window with overlapping observations.mutate(), transmute(), select(), rename(), summarise()/summarize()
[left/right/full/inner/anti/semi]_join()left/right/full/inner/anti/semi_join()group_by(), ungroup()
difference.RdLagged Differences
+Lagged differences
Lagged Differences
Lagged differences
These column-wise verbs from dplyr have an additional argument of .drop = FALSE
-for tsibble. The index variable cannot be dropped for a tsibble. If any key
-variable is changed, it will validate whether it's a tsibble internally.
-Turning .drop = TRUE converts to a tibble first and then do the operations.
.drop = TRUE converts to a tibble first and
+then do the operations.summarise() will not collapse on the index variable.
Multiple objects to be splitted in parallel.
Multiple objects to be split in parallel.
An objects to be splitted.
An objects to be split.
Multiple objects to be splitted in parallel.
Multiple objects to be split in parallel.