RavenR (version 2.2.0)

rvn_ts_infill: Infill discontinuous time series with blank values

Description

Infills missing time values from a time series based on a regular interval.

Usage

rvn_ts_infill(ts)

Value

ts

continuous xts time series

Arguments

ts

valid xts time series

Author

James R. Craig, University of Waterloo

Details

Takes xts dataset, finds minimum interval between time stamps and returns a new regular interval xts with same data content, but NA values in between known data values

Only handles data with minimum time interval of 1 day; 1,2,3,4,6,8, or 12 hrs.

Note that in default reading in of date/time data, the daylight savings timezones may be assigned to the date/time when reading in a data file with Raven using functions such as rvn_hyd_read. This function will then detect differences in the intervals and throw an error. To avoid this, the timezone may be assigned explicitly to all values with the read function and all daylight savings/endings will be ignored.

Examples

system.file("extdata","run1_Hydrographs.csv", package="RavenR") %>%
rvn_hyd_read(., tzone="EST") -> mydata
mydata <- mydata$hyd$precip
mydata<-mydata[-seq(2,nrow(mydata),3),] # remove every 3rd day
head(mydata)

# fill back with rvn_ts_infill using NA values
rvn_ts_infill(mydata$precip) %>%
head()