View source: R/LPJmLData_transform.R
transform | R Documentation |
Function to transform an LPJmLData
data object into another
space or another time format. Combinations of space and time formats are also
possible.
transform(x, to)
x |
An LPJmLData object. |
to |
A character vector defining space and/or time format into which
the corresponding data dimensions should be transformed. Choose from space
formats |
An LPJmLData
object in the selected format.
## Not run:
runoff <- read_io(filename = "runoff.bin.json",
subset = list(year = as.character(1991:2000)))
# Transform into space format "lon_lat". This assumes a "grid.bin.json" file
# is present in the same directory as "runoff.bin.json".
transform(runoff, to = "lon_lat")
# [...]
# $data |>
# dimnames() |>
# .$lat "-55.75" "-55.25" "-54.75" "-54.25" ... "83.75"
# .$lon "-179.75" "-179.25" "-178.75" "-178.25" ... "179.75"
# .$time "1991-01-31" "1991-02-28" "1991-03-31" "1991-04-30" ...
# .$band "1"
# [...]
# Transform time format from a single time dimension into separate dimensions
# for years, months, and days. Dimensions for time steps not present in the
# data are omitted, i.e. no "day" dimension for monthly data.
transform(runoff, to = "year_month_day")
# [...]
# $data |>
# dimnames() |>
# .$lat "-55.75" "-55.25" "-54.75" "-54.25" ... "83.75"
# .$lon "-179.75" "-179.25" "-178.75" "-178.25" ... "179.75"
# .$month "1" "2" "3" "4" ... "12"
# .$year "1991" "1992" "1993" "1994" ... "2000"
# .$band "1"
# [...]
## End(Not run)
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