# NOT RUN {
library(PCICt)
## 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$ONE_DAY_PRECIPITATION,
tmax.dates, tmin.dates, prec.dates, base.range=c(1971, 2000))
## Compute monthly tx90p.
tx90p <- percent.days.op.threshold(ci@data$tmax, ci@dates, ci@jdays,
ci@date.factors$monthly,
ci@quantiles$tmax$outbase$q90,
ci@quantiles$tmax$inbase$q90,
ci@base.range, ">",
ci@max.missing.days['monthly']) *
ci@namasks$monthly$tmax
# }
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