Description Objects from the Class Slots Methods Author(s) See Also Examples
Output object of the function SpawAggregate
.
Objects can be created by calls of the form new("SpawAggregateOutput", ...)
.
seed
:Object of class "ANY"
~~
contains the random seed which was used in SpawAggregate
.
Use this seed if you want to reproduce the same resamples.
aggregated.samples
:Object of class "list"
~~
A list
of matrices of dimension n by m where n
is the number of contextual units and m is the number of resamples containing
the aggregated context data for each resample.
frames
:Object of class "list"
~~
A list
of data.frame
s. One data.frame
per
contextual name, each containing the mean estimate, standard
deviation, median and confidence intervals of the corresponding
contextual variable by contextual unit.
signature(x = "SpawAggregateOutput", y =
"SpawAggregateOutput")
:
Merges SpawAggregateOutput
objects. This is useful if
contextual data is being aggregated from different individual level
data bases.
signature(x = "SpawAggregateOutput", i = "ANY", j =
"ANY", drop = "ANY")
: Allows to extract the dataframe corresponding to a bootstrap sample.
signature(object = "SpawAggregateOutput")
:
Also allows to extract the dataframe corresponding to a bootstrap sample.
signature(x = "SpawAggregateOutput")
: Returns the number of bootstrap samples contained in the object.
signature(x = "SpawAggregateOutput")
: Returns the names of aggregated variables in the object
signature(x = "SpawAggregateOutput")
: Allows to assign names to the aggregates in the object
signature(x = "SpawAggregateOutput", NA =
"ANY")
: Allows to change names to the aggregated variables in the object.
signature(object = "SpawAggregateOutput")
: Prints a meaningful short description of the object.
Till Junge, Sandra Penic, Guy Elcheroth
is generated by SpawAggregate
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | ## load distance matrix
data(d_geo)
## create a weight matrix
geow.50 <- WeightMatrix(d_geo, bandwidth=50)
## load contextual data
data(traces_event)
## aggregate data
wv.int <- SpawAggregate(contextual.data=traces_event,
context.id="area.name",
contextual.names=c("w_all", "w_all"),
contextual.weight.matrices=list(NULL, geow.50),
aggregation.functions="weighted.mean",
design.weight.names="weight",
nb.resamples=4)
## check the number of samples
length(wv.int)
## check the second sample
head(wv.int[2])
## change the names of the weighted indicators to more significant ones
names(wv.int) <- c("w_all.0", "w_all.50")
showClass("SpawAggregateOutput")
|
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