zoo_aggregate(x =NULL, new_time =NULL, f = mean,...)
Arguments
x: (required, zoo object) Time series to aggregate. Default: NULL
new_time: (optional, zoo object, keyword, or time vector) New time to aggregate x to. The available options are:
NULL: the highest resolution keyword returned by zoo_time(x)$keywords is used to generate a new time vector to aggregate x.
zoo object: the index of the given zoo object is used as template to aggregate x.
time vector: a vector with new times to resample x to. If time in x is of class "numeric", this vector must be numeric as well. Otherwise, vectors of classes "Date" and "POSIXct" can be used indistinctly.
keyword: a valid keyword returned by zoo_time(x)$keywords, used to generate a time vector with the relevant units.
numeric of length 1: interpreted as new time interval, in the highest resolution units returned by zoo_time(x)$units.
f: (optional, quoted or unquoted function name) Name of a standard or custom function to aggregate numeric vectors. Typical examples are mean, max,min, median, and quantile. Default: mean.
...: (optional, additional arguments) additional arguments to f.
Returns
zoo object
Examples
#full range of calendar datesx <- zoo_simulate( rows =1000, time_range = c("0000-01-01", as.character(Sys.Date())))#plot time seriesif(interactive()){ zoo_plot(x)}#find valid aggregation keywordsx_time <- zoo_time(x)x_time$keywords
#mean value by millennia (extreme case!!!)x_millennia <- zoo_aggregate( x = x, new_time ="millennia", f = mean
)if(interactive()){ zoo_plot(x_millennia)}#max value by centuriesx_centuries <- zoo_aggregate( x = x, new_time ="centuries", f = max
)if(interactive()){ zoo_plot(x_centuries)}#quantile 0.75 value by centuriesx_centuries <- zoo_aggregate( x = x, new_time ="centuries", f = stats::quantile, probs =0.75#argument of stats::quantile())if(interactive()){ zoo_plot(x_centuries)}