quality_check: Quality checks and convenient splitting of time series
In krehfeld/nest: Non-equally spaced time series analysis

Description Usage Arguments Value Note See Also Examples

Quality checks and convenient splitting of time series

1 2	quality_check(prxlist, meta, T0, T1, maxhiat = 800, length.min = 15, min.res = 500, min.range=(T1-T0)/3)

`prxlist`	List of zoo objects
`meta`	metadata
`T0`	Vector of start points
`T1`	Vector of end points
`maxhiat`	Maximum hiatus length in time series
`length.min`	Minimum acceptable length of the time series
`min.res`	Minimum acceptable resolution
`min.range`	Minimum time covered (in time units)

Returns a list of

`WBT.out`	Window-by-time-object
`metafilt`	Filtered metadata object
`ind.ok`	Indices of acceptable objects

TBD: Floating window definition (e.g. Eemian by thermal max. in window)

window_by_time

# Generate a list of long time series time series, one for each network node
Xlist<-lapply(replicate(3,zoo(x=rnorm(1000)*seq(1,1000)),simplify=FALSE),sample,250)
metafake<-data.frame(c(-75,30,75),c(120,120,120),c("a","b","c"))
colnames(metafake)<-c("Lat","Lon","Name")

# window each time series
#OUT<-lapply(Xlist,window_by_time,T0=0,T1=1000,shift=0.75)

OUT<-window_by_time(Xlist,T0=c(0,500),T1=c(500,1000))

OUT<-quality_check(Xlist,metafake,T0=0,T1=1000,maxhiat=10,length.min=100,min.res=10)