daysAgg: Daily aggregation function

In TSAgg: Time series Aggregation

Description

This function allows for the aggregation of non-continuos time series data into days. It allows for the multiple days to be specified. The aggregation method is also allowed to be set by the user.

Usage

daysAgg(data, process, multiple = NULL, na.rm = FALSE)

Arguments

data	A timeSeries formatted dataset.
process	An aggregation method. See aggregate.
multiple	An integer specifying the aggregation block. Default is multiple=NULL.
na.rm	Default is na.rm=FALSE.

Details

This function is based on the aggregate method. It is designed to simplify the process of aggregating non-continuos data.

Value

Returns a data.frame with dates formatted as as.Date and aggregated data.

Author(s)

Jason Lessels <[e-mail]>

References

Returns a data.frame with dates formatted as as.Date and aggregated data.

Examples

#Load the data:
data(foo)
#Format the data using the timeSeries function.
foo.ts<-timeSeries(foo[,1],  "%d/%m/%Y  %H:%M",foo[,3])
#Aggregate the data into days using mean:
foo.1day<-daysAgg(foo.ts,mean)
#Aggregate the data into weeks, using 7 days and mean:
foo.week<-daysAgg(foo.ts,mean,7)

TSAgg documentation built on May 2, 2019, 6:09 p.m.