climdexInput.csv(tmax.file = NULL, tmin.file = NULL, prec.file = NULL,
data.columns = list(tmin = "tmin", tmax = "tmax", prec = "prec"),
base.range = c(1961, 1990), na.strings = NULL, cal = "gregorian",
date.types = NULL, n = 5, northern.hemisphere = TRUE,
tavg.file = NULL, quantiles = NULL, temp.qtiles = c(0.1, 0.9),
prec.qtiles = c(0.95, 0.99), max.missing.days = c(annual = 15, monthly =
3), min.base.data.fraction.present = 0.1)read.csv.climdexInput-class for use with
other climdex methods.Any of tmin.file (daily minimum temperature), tmax.file (daily maximum temperature), tavg.file (daily mean temperature), and prec.file (daily precipitation) can be passed in. tavg will be derived from the mean of tmax and tmin if it is not supplied. If any of tmin.file, tmax.file, and prec.file are not supplied, the set of indices which can be calculated will be limited to indices which do not involve the missing variables.
The tmax.file, tmin.file, and prec.file arguments
should be names of CSV files containing dates and the data on which the
indices are to be computed. The units are assumed to be degrees C for
temperature, and mm/day for precipitation.
The data.columns argument is a vector consisting of named items tmax,
tmin, and prec. These named items are used as the column names in their
respective files when loading in CSV.
The cal argument is a textual description of the calendar type, as
described in the documentation for as.PCICt.
The date.types argument is a list of lists containing two named
items: fields, and format. The fields item is a vector
of names consisting of the columns to be concatenated together with spaces.
The format item is a date format as taken by strptime.
For more details on arguments, see link{climdexInput.raw}.
climdex.pcic-package, climdexInput.raw.## This would create a climdexInput object from a set of filenames (already
## stored as variables), with a different date format.
ci.csv <- climdexInput.csv(tmax.filename, tmin.filename,
prec.filename, date.types=list(list(fields=c("date"), format="%Y-%m-%d")))Run the code above in your browser using DataLab