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 |