rss: Selecting classical ranked set sample

Description Usage Arguments Details Value References See Also Examples

Description

The rss function samples from a target population by using ranked set sampling method.

Usage

1
rss(X,m,r=1,sets=FALSE)

Arguments

X

A vector of target population

m

Size of units in each set

r

Number of cycles. (By default=1)

sets

logical; if TRUE, ranked set samples are given with ranked sets (see rankedsets)

Details

Target population X must be a vector.

Value

sets

randomly chosen ranked sets

sample

the obtained ranked set sample of X

References

McIntyre, G. A. (1952). A method for unbiased selective sampling, using ranked sets. Australian Journal of Agricultural Research, 3(4), 385-390.

See Also

con.rss

Examples

1
2
3
data=rnorm(10000,1,3)
## Selecting classical ranked set sample with set size \emph{m} and cycle size \emph{r}
rss(data,m=5,r=3,sets=TRUE)

Example output

$sets
            [,1]        [,2]        [,3]       [,4]     [,5]
 [1,] -2.7585169 -0.38093817 -0.10696957  1.4439514 3.169444
 [2,] -3.7175957  0.11298495  1.14648714  1.2223776 5.467325
 [3,] -0.5764858  1.42236569  1.97224749  2.9285550 4.277387
 [4,] -5.3782548 -3.96754684 -1.70740448  1.6444418 5.273997
 [5,] -2.9526819  2.36306757  2.76055006  6.0723635 7.198528
 [6,] -0.9959381  0.05228693  3.06011200  4.0997863 4.621326
 [7,] -3.0289010 -2.06037285  1.14891133  1.3574701 1.426375
 [8,] -1.5878697 -0.83375241  0.08004583  1.4934566 2.712725
 [9,] -2.6926976 -0.82728915 -0.01153866  1.0971791 5.042713
[10,] -3.5600044 -2.20038437 -1.18239754  1.6615244 9.253848
[11,] -1.5459064 -1.39640455 -1.17089407 -0.0748791 1.377007
[12,]  2.7202128  3.45382751  3.95858759  3.9649521 6.411855
[13,] -3.0956999 -1.00569072 -0.46907036  1.2336562 2.041467
[14,] -1.4118483 -1.07318997  1.64167157  2.3387145 3.151169
[15,] -4.7398544 -2.55035903 -1.16878206  5.5250602 5.658871

$sample
           m = 1      m = 2       m = 3    m = 4    m = 5
r = 1 -2.7585169  0.1129849  1.97224749 1.644442 7.198528
r = 2 -0.9959381 -2.0603729  0.08004583 1.097179 9.253848
r = 3 -1.5459064  3.4538275 -0.46907036 2.338714 5.658871

RSSampling documentation built on May 2, 2019, 4:28 a.m.

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