Package index • timefully

Time range

get_datetime_seq(): Date time sequence with time zone and resolution

get_yearly_datetime_seq(): Yearly date time sequence with time zone and resolution

adapt_timeseries(): Adapt time-series dataframe to timezone, date range and fill gaps

Time resolution

get_time_resolution(): Return the time resolution of a datetime sequence

get_timeseries_resolution(): Return the time resolution of a time series dataframe

change_timeseries_resolution(): Change time resolution of a time-series data frame

Timeseries utilites

get_timeseries_tzone(): Get the time zone of a time series dataframe

change_timeseries_tzone(): Adapt the timezone of a time series dataframe

aggregate_timeseries(): Aggregate multiple timeseries columns to a single one

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

check_timeseries_gaps(): Check if there are any gaps in the datetime sequence

Gap filling

fill_na(): Fill gaps with a specific value

fill_from_past(): Fill from past values

fill_down_until(): Fill down tibble columns until a maximum number of time slots

fill_datetime(): Fill NA values of a datetime sequence vector

Visualisation

plot_ts(): Interactive plot for time-series tibbles

Time conversions

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

get_week_from_datetime(): Week date from datetime value

get_week_total(): Summarise dataframe with weekly total column values

to_hhmm(): Convert a number of minutes in string format "HH:MM"

Time information

tic(): Time difference start function

toc(): Time difference end function