Date Utils

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Documentation for package ‘dateutils’ version 0.1.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

add_forecast_dates	Add NA values to the tail of a wide data.table
agg_to_freq	Aggregate long format data.table
agg_to_freq_wide	Aggregate data.table and return wide format
allNA	Are all elements 'NA'?
all_finite	Rows with only finite values
any_finite	Rows with finite values
can_seasonal	Can data be seasonally adjusted?
col_to_list	Convert columns to list
comp_form	Companion Form
count_obs	Count observations
day	Return the day of a Date value
Diff	Difference data
end_of_period	End of period date
end_of_year	End of Year
extract_basic_character	Extract characters
extract_character	Extract character values
extract_numeric	Extract numeric values
fill_forward	Fill Forward
first_of_month	First of month
first_of_quarter	First of Quarter
first_previous_quarter	First of previous quarter date
fred	Sample mixed frequency data from FRED
fredlib	Library of metadata for mixed frequency dataset 'fred'
get_data_frq	Get frequency of data based on missing observations
get_from_list	Get from list
index_by_friday	Find the Friday in a given week
is_in	Find element of this_in that
last_in_month	Last date in the month
last_in_quarter	Last date in the week
last_in_week	Last date in the week
last_in_year	Last date in the year
last_obs	Last observation
limit_character	Limit Characters
long_run_var	Long Run Variance of a VAR
match_index	Match index values
match_ts_dates	Match dates between two timeseries
mean_na	Return the mean
month_days	Number of days in a given month
number_finite	Number of finite values in a column
numdum	Dummies for Numeric Data
pct_chng	Percent change
pct_response	Percent of responses at a given frequency
process	Process Data
process_MF	Process mixed frequency
process_wide	Process Wide Format Data
rollmax	Rolling Max
rollmean	Rolling mean
rollmin	Rolling Min
row_to_list	Convert rows to list
run_sa	Seasonally adjust data using seas()
sd_na	Return the standard deviation
seas_df_long	Seasonally adjust long format data using seas()
seas_df_wide	Seasonally adjust wide format data using seas()
spline_fill	Spline fill missing observations
spline_fill_trend	Spline fill missing observations
stack_obs	Stack time series observations in VAR format
sum_na	Return the sum
total_response	Number of of responses at a given frequency
to_ts	Tabular data to ts() format
try_detrend	Remove low frequency trends from data
try_sa	Seasonally adjust data using seas()
try_trend	Estimate low frequnecy trends
ts_to_df	ts() data to a dataframe