Description Usage Arguments Details Value Examples
Calculate series of averages over the periods specified in the period
argument into the inpur data.table.
1 2 |
x |
data.table with columns |
period |
The periods over which the averages will be calculated, see Details |
agg_by |
Function for specification of the period (season, month) to be additionaly included in output, see Details |
full_return |
(logical) Should the average be repeated for each scale along with original time series? Default is FALSE (e.g. for M1 only monthly and not daily time series is returned) |
remove_incomplete |
Should the incomplete years be removed from results? Default is TRUE |
The original time series in daily time step is decomposed into series of averages ove periods specified in periods
argument using letter codes 'D' - day(s), 'M' - month(s), 'Y' - year(s) followed by number corresponding to number of periods and 'G1' the overall mean. The periods must be given in order from longest to shortest, the overall mean is always included (and needs not to be specified in period
). Shorter periods are always identified within the closest longer periods, i.e. each shorter period is included in exactly one longer period. As a result, the averages may be calculated over shorter periods than specified. This is due to varying length of "month" and "year" periods. The actual length used for averaging is included in the output. To make further assessment of the decomposed objects easier, indicator of period within the year (e.g. quarter or month) as specified by agg_by
argument is included in the output.
data.table with variables:
factor indicating the variable
date
specification of the averaging length with 'D' - day(s), 'M' - month(s), 'Y' - year(s) and 'G1' - the overall mean
value of the variable for given averaging length
indication of the aggregating scale specified by agg_by
argument
average date of the interval
real length of the vectors used for calculating averages
averaging length in hours
1 2 3 4 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.