# Time-Series Management Made Easy

## Documentation for package ‘timefully’ version 0.1.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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"