Time-Series Management Made Easy

Documentation for package ‘timefully’ version 0.1.0

adapt_timeseries	Adapt time-series dataframe to timezone, date range and fill gaps
add_extra_days	Add an extra day at the beginning and the end of datetime sequence using the last and first day of the data
aggregate_timeseries	Aggregate multiple timeseries columns to a single one
change_timeseries_resolution	Change time resolution of a time-series data frame
change_timeseries_tzone	Adapt the timezone of a time series dataframe
check_timeseries_gaps	Check if there are any gaps in the datetime sequence
convert_time_num_to_period	Convert numeric time value to a datetime period (hour-based)
date_to_timestamp	Convert date or datetime value to timestamp number
fill_datetime	Fill NA values of a datetime sequence vector
fill_down_until	Fill down tibble columns until a maximum number of time slots
fill_from_past	Fill from past values
fill_na	Fill gaps with a specific value
get_datetime_seq	Date time sequence with time zone and resolution
get_timeseries_resolution	Return the time resolution of a time series dataframe
get_timeseries_tzone	Get the time zone of a time series dataframe
get_time_resolution	Return the time resolution of a datetime sequence
get_week_from_datetime	Week date from datetime value
get_week_total	Summarise dataframe with weekly total column values
get_yearly_datetime_seq	Yearly date time sequence with time zone and resolution
plot_ts	Interactive plot for time-series tibbles
tic	Time difference start function
toc	Time difference end function
to_hhmm	Convert a number of minutes in string format "HH:MM"