Return the last parts of an object.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ```
## S4 method for signature 'SampleSetup'
tail(x, k = 6, n = 6, ...)
## S4 method for signature 'SimControl'
tail(x)
## S4 method for signature 'SimResults'
tail(x, ...)
## S4 method for signature 'Strata'
tail(x, ...)
## S4 method for signature 'VirtualContControl'
tail(x)
## S4 method for signature 'VirtualDataControl'
tail(x)
## S4 method for signature 'VirtualNAControl'
tail(x)
## S4 method for signature 'VirtualSampleControl'
tail(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 last parts of set up samples. The last

`n`

indices of each of the last`k`

set up samples are kept.`signature(x = "SimControl")`

currently returns the object itself.

`signature(x = "SimResults")`

returns the last parts of simulation results. The method of

`tail`

for the`data.frame`

in slot`values`

is thereby called.`signature(x = "Strata")`

returns the last parts of strata information. The method of

`tail`

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/.

`tail`

, `"SampleSetup"`

,
`"SimResults"`

, `"Strata"`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ```
## 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 last 10 indices of each of the last 5 samples
tail(set, k = 5, n = 10)
## class "Strata"
# set up samples using group sampling
strata <- stratify(eusilcP, "region")
summary(strata)
# get strata information for the last 10 observations
tail(strata, 10)
``` |

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