| climdex.cwd {climdex.pcic} | R Documentation |
spells.can.span.years option specifies whether spells can cross
year boundaries – i.e., span years. The default for this is the same as for
fclimdex.The spells.can.span.years option specifies whether spells can cross
year boundaries – i.e., span years. The default for this is the same as for
fclimdex.
climdex.cwd(ci, spells.can.span.years = TRUE)
ci |
Object of type climdexInput. |
spells.can.span.years |
Whether to allow spells to span years |
A vector containing the length of the spell for each year.
http://etccdi.pacificclimate.org/list_27_indices.shtml
climdexInput.raw, climdexInput.csv,
spell.length.max.
library(PCICt)
## Create a climdexInput object from some data already loaded in and
## ready to go.
## Parse the dates into PCICt.
tmax.dates <- as.PCICt(do.call(paste, ec.1018935.tmax[,c("year",
"jday")]), format="%Y %j", cal="gregorian")
tmin.dates <- as.PCICt(do.call(paste, ec.1018935.tmin[,c("year",
"jday")]), format="%Y %j", cal="gregorian")
prec.dates <- as.PCICt(do.call(paste, ec.1018935.prec[,c("year",
"jday")]), format="%Y %j", cal="gregorian")
## Load the data in.
ci <- climdexInput.raw(ec.1018935.tmax$MAX_TEMP,
ec.1018935.tmin$MIN_TEMP, ec.1018935.prec$ONE_DAY_PRECIPITATION,
tmax.dates, tmin.dates, prec.dates, base.range=c(1971, 2000))
## Create an annual timeseries of the CWD index.
cdd <- climdex.cdd(ci)