as_array | R Documentation |
Function to coerce (convert) an LPJmLData
object into a pure
array. Pure - because LPJmLData stores the data already as
an array
which can be accessed via $data
.
as_array
provides additional functionality to subset or aggregate the
array
.
as_array(x, subset = NULL, aggregate = NULL, ...)
x |
LPJmLData object. |
subset |
List of array dimension(s) as name/key and
corresponding subset vector as value, e.g.
|
aggregate |
List of array dimension(s) as name/key and
corresponding aggregation function as value, e.g.
|
... |
Arguments passed to the aggregate function(s), e.g.
|
an array with dimensions of object $data
with
applied subset
and aggregate
functionality as well as dim
and
dimnames
from the LPJmLData
object.
## Not run:
vegc <- read_io(filename = "./vegc.bin.json")
# Returns array attribute of LPJmLData object directly
vegc$data
# time
# cell 1901-12-31 1902-12-31 1903-12-31 1904-12-31 1905-12-31
# 0 1.362730e+04 1.363163e+04 1.364153e+04 1.365467e+04 1.366689e+04
# 1 1.201350e+02 1.158988e+02 1.101675e+02 1.214204e+02 1.062658e+02
# 2 1.334261e+02 1.210387e+02 1.218128e+02 1.183210e+02 1.159934e+02
# 3 9.744530e+01 9.586801e+01 8.365642e+01 8.193731e+01 7.757602e+01
# 4 7.592700e+01 7.821202e+01 6.798551e+01 6.632317e+01 5.691082e+01
# 5 1.106748e+01 1.137272e+01 1.196524e+01 1.131316e+01 9.924266e+0
# Returns two-dimensional array with timeseries for the mean across cells
# 27410:27415
as_array(vegc,
subset = list(cell = 27410:27415),
aggregate = list(cell = mean))
# band
# time 1
# 1901-12-31 1995.959
# 1902-12-31 1979.585
# 1903-12-31 1978.054
# 1904-12-31 1935.623
# 1905-12-31 1938.805
## End(Not run)
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