data.frame object from daily to monthly,
from minute data to hourly, and more. This allows the user to easily
aggregate data to a less granular level by taking the value from either
the beginning or end of the period.
A column containing date or date-time values. If missing, attempts to auto-detect date column.
A period to condense the time series to.
Time units are condensed using
The value can be:
Arbitrary unique English abbreviations as in the
One of "start" or "end". Determines if the first observation in the period should be returned or the last.
Time-Based dplyr functions:
summarise_by_time() - Easily summarise using a date column.
mutate_by_time() - Simplifies applying mutations by time windows.
pad_by_time() - Insert time series rows with regularly spaced timestamps
filter_by_time() - Quickly filter using date ranges.
filter_period() - Apply filtering expressions inside periods (windows)
slice_period() - Apply slice inside periods (windows)
condense_period() - Convert to a different periodicity
between_time() - Range detection for date or date-time sequences.
slidify() - Turn any function into a sliding (rolling) function
1 2 3 4 5 6 7 8 9 10 11 12 13
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.