head-methods {simFrame} | R Documentation |
Return the first parts of an object.
## S4 method for signature 'SampleSetup' head(x, k = 6, n = 6, ...) ## S4 method for signature 'SimControl' head(x) ## S4 method for signature 'SimResults' head(x, ...) ## S4 method for signature 'Strata' head(x, ...) ## S4 method for signature 'VirtualContControl' head(x) ## S4 method for signature 'VirtualDataControl' head(x) ## S4 method for signature 'VirtualNAControl' head(x) ## S4 method for signature 'VirtualSampleControl' head(x)
x |
an object. |
k |
for objects of class |
n |
for objects of class |
... |
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.
Andreas Alfons
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. URL http://www.jstatsoft.org/v37/i03/.
head
, "SampleSetup"
,
"SimResults"
, "Strata"
## 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)