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Return the first parts of an object.
# S4 method for SampleSetup
head(x, k = 6, n = 6, …)# S4 method for SimControl
head(x)
# S4 method for SimResults
head(x, …)
# S4 method for Strata
head(x, …)
# S4 method for VirtualContControl
head(x)
# S4 method for VirtualDataControl
head(x)
# S4 method for VirtualNAControl
head(x)
# S4 method for VirtualSampleControl
head(x)
an object.
for objects of class "SampleSetup"
, the number of set up
samples to be kept in the resulting object.
for objects of class "SampleSetup"
, the number of indices
to be kept in each of the set up samples in the resulting object.
additional arguments to be passed down to methods.
An object of the same class as x
, but in general smaller. See the
“Methods” section below for details.
signature(x = "SampleSetup")
returns the first parts of set up
samples. The first n
indices of each of the first k
set up
samples are kept.
signature(x = "SimControl")
currently returns the object itself.
signature(x = "SimResults")
returns the first parts of
simulation results. The method of head
for the
data.frame
in slot values
is thereby called.
signature(x = "Strata")
returns the first parts of strata
information. The method of head
for the vector in
slot values
is thereby called and the slots split
and
size
are adapted accordingly.
signature(x = "VirtualContControl")
currently returns the object itself.
signature(x = "VirtualDataControl")
currently returns the object itself.
signature(x = "VirtualNAControl")
currently returns the object itself.
signature(x = "VirtualSampleControl")
currently returns the object itself.
Alfons, A., Templ, M. and Filzmoser, P. (2010) An Object-Oriented Framework for Statistical Simulation: The R Package simFrame. Journal of Statistical Software, 37(3), 1--36. 10.18637/jss.v037.i03.
head
, "'>SampleSetup"
,
"'>SimResults"
, "'>Strata"
# NOT RUN {
## load data
data(eusilcP)
## class "SampleSetup"
# set up samples using group sampling
set <- setup(eusilcP, grouping = "hid", size = 1000, k = 50)
summary(set)
# get the first 10 indices of each of the first 5 samples
head(set, k = 5, n = 10)
## class "Strata"
# set up samples using group sampling
strata <- stratify(eusilcP, "region")
summary(strata)
# get strata information for the first 10 observations
head(strata, 10)
# }
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