TS.stats: calculating statistics of a time series needed for parameter...
In BLRPM: Stochastic Rainfall Generator Bartlett-Lewis Rectangular Pulse Model

Description Usage Arguments Value Author(s) Examples

View source: R/BLRPM.R

TS.stats calculates statistics of a given time series x at given accumulation levels acc.vals. The calculated statistics are the mean of the first accumulation level, the variance, auto-covariance lag-1 and the probability of zero rainfall of all given accumulation levels of the time series. These statistics are needed for estimating the BLRPM parameters.

1	TS.stats(x,acc.vals)

`x`	`vector` of a time series
`acc.vals`	`vector` of accumulation levels, first value should be 1

stats TS.stats returns a vector of statistics calculated at given accumulation levels

Christoph Ritschel christoph.ritschel@met.fu-berlin.de

1 2	time.series <- rgamma(1000,shape=1) statistics <- TS.stats(time.series,acc.vals=c(1,3,12,24))

Loading required package: R6
Warning:  1 time steps left and not used for accumulation 
Warning:  4 time steps left and not used for accumulation 
Warning:  16 time steps left and not used for accumulation