thresholder | R Documentation |
App;y a threshold to a field and return either a binary field or a field with replace.width everywhere the rule is not true.
thresholder(x, type = c("binary", "replace.below"), th, rule = ">=",
replace.with = 0, ...)
## Default S3 method:
thresholder(x, type = c("binary", "replace.below"), th, rule = ">=",
replace.with = 0, ... )
## S3 method for class 'SpatialVx'
thresholder(x, type = c("binary", "replace.below"), th, rule = ">=",
replace.with = 0, ..., time.point = 1, obs = 1, model = 1 )
x |
A field or “SpatialVx” object to which to apply the thresholds. |
type |
character describing which type of field(s) to return: binary or replace. |
rule |
If |
replace.with |
Only used if |
th |
Value of the threshold (default) or index to which row of threshold matrices in |
time.point |
numeric or character indicating which time point from the “SpatialVx” verification set to select for analysis. |
obs , model |
numeric indicating which observation/forecast model to select for the analysis. |
... |
Not used. |
At each point, p, in the field, the expression: p rule
threshold
is applied. If type
is “binary”, then if the expression is false, zero is returned for that grid point, and if it is true, then one is returned. If type
is “replace.below”, then if the expression is false, replace.with
is returned for that grid point, and if true, then the original value is returned. By default, the original field is returned, but with values below the threshold set to zero. If rule
is “<=”, then replace.below
will actually replace values above the threshold with “replace.with” instead.
If applied to a “SpatialVx” class object, then observation obs
and model model
at time point time.point
will each be thresholded using the respective th
threshold value for the observed and modeled fields as taken from the thresholds attribute of the object (see the help file for make.SpatialVx
).
A field of the same dimension as x
if a matrix. If x
is a “SpatialVx” class object, then a list is returned with components:
X , Xhat |
The matrices giving the respective thresholded fields for the observation and forecast. |
Eric Gilleland
make.SpatialVx
x <- matrix( 12 + rnorm( 100, 10, 10 ), 10, 10 )
par( mfrow = c(2, 2) )
image.plot( thresholder( x, th = 12 ), main = "binary" )
image.plot( thresholder( x, type = "replace.below", th = 12 ),
main = "replace.below" )
image.plot( thresholder( x, th = 12, rule = "<=" ),
main = "binary with rule <=" )
image.plot( thresholder( x, type = "replace.below", th = 12, rule = "<=" ),
main = "replace.below with rule <=" )
par( mfrow = c(1,1) )
## Not run:
data("geom000")
data("geom004")
data("ICPg240Locs")
hold <- make.SpatialVx( geom000, geom004, thresholds = c(0.01, 50.01),
projection = TRUE, map = TRUE, loc = ICPg240Locs, loc.byrow = TRUE,
field.type = "Geometric Objects Pretending to be Precipitation",
units = "mm/h", data.name = "ICP Geometric Cases", obs.name = "geom000",
model.name = "geom004" )
# Note: th = 1 means threshold = 0.01.
look <- thresholder( hold, th = 1 )
image.plot( look$X )
contour( look$Xhat, add = TRUE, col = "white" )
# Note: th = 2, means threshold = 50.01
look <- thresholder( hold, th = 2 )
image.plot( look$X )
contour( look$Xhat, add = TRUE, col = "white" )
look <- thresholder( hold, th = 1, rule = "<" )
image.plot( look$X )
contour( look$Xhat, add = TRUE, col = "white" )
## End(Not run)
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