monthsAgg: Monthly aggregation function

In johnDorian/TSAgg: Time series Aggregation

Description

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

Usage

monthsAgg(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.POSIXlt and aggregated data.

Author(s)

Jason Lessels <[e-mail]>

See Also

aggregate

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 6 month blocks using mins
min.month <- monthsAgg(foo.ts,min,6)
##Aggregate the data into 6 days blocks using max
max.month <- monthsAgg(foo.ts,max,6)
##Aggregate the data into 6 days blocks using max
mean.month <- monthsAgg(foo.ts,mean,6)
#Create a plot of the results
ymin=min(min.month$data);ymax=max(max.month$data)
plot(mean.month,ylim=c(ymin,ymax))
lines(min.month,type="l",lty=3,col="red")
lines(max.month,type="l",lty=3,col="blue")

johnDorian/TSAgg documentation built on May 19, 2019, 3:02 p.m.