balancedstratification(sampling)
balancedstratification()所属R语言包：sampling
Balanced stratification
平衡分层
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Selects a stratified balanced sample (a vector of 0 and 1). Firstly, the flight phase is applied in each stratum. Secondly, the strata are aggregated and the flight phase is applied on the whole population. Finally, the landing phase is applied on the whole population.
选择了分层的平衡的样品（0和1）的向量。首先，飞行阶段，适用于各阶层。其次，地层汇总并适用于整个人口的飞行阶段。最后，着陆阶段施加对整个人口。
用法----------Usage----------
balancedstratification(X,strata,pik,comment=TRUE,method=1)
参数----------Arguments----------
参数：X
matrix of auxiliary variables on which the sample must be balanced.
该样本必须是平衡的辅助变量的矩阵。
参数：strata
vector of integers that specifies the stratification.
向量的整数，指定分层。
参数：pik
vector of inclusion probabilities.
矢量包含概率。
参数：comment
a comment is written during the execution if comment is TRUE.
在执行过程中如果comment是TRUE写评论。
参数：method
the used method in the function samplecube.
所使用的方法在功能samplecube。
参考文献----------References----------
Chauvet, G. and Till茅, Y. (2006). A fast algorithm of balanced sampling. Computational Statistics, 21/1:53–62. <br> Chauvet, G. and Till茅, Y. (2005). New SAS macros for balanced sampling. In INSEE, editor, Journ茅es de M茅thodologie Statistique, Paris.<br> Deville, J.-C. and Till茅, Y. (2004). Efficient balanced sampling: the cube method. Biometrika, 91:893–912.<br> Deville, J.-C. and Till茅, Y. (2005). Variance approximation under balanced sampling. Journal of Statistical Planning and Inference, 128/2:411–425.
参见----------See Also----------
samplecube, fastflightcube, landingcube
samplecube，fastflightcube，landingcube
实例----------Examples----------
############[＃＃＃＃＃＃＃＃＃＃＃]
## Example 1[＃示例1]
############[＃＃＃＃＃＃＃＃＃＃＃]
# variable of stratification (3 strata)[分层变量（3地层）]
strata=c(1,1,1,1,1,2,2,2,2,2,3,3,3,3,3)
# matrix of balancing variables[矩阵的平衡变量]
X=cbind(c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15))
# Vector of inclusion probabilities.[向量的包含概率。]
# the sample has its size equal to 9.[该样品具有其大小等于9。]
pik=rep(3/5,times=15)
# selection of a stratified sample[采用分层抽样的选择]
s=balancedstratification(X,strata,pik,comment=TRUE)
# the sample is[样品是]
(1:length(pik))[s==1]
############[＃＃＃＃＃＃＃＃＃＃＃]
## Example 2[＃示例2]
############[＃＃＃＃＃＃＃＃＃＃＃]
data(MU284)
X=cbind(MU284$P75,MU284$CS82,MU284$SS82,MU284$S82,MU284$ME84)
strata=MU284$REG
pik=inclusionprobabilities(MU284$P75,80)
s=balancedstratification(X,strata,pik,TRUE)
############[＃＃＃＃＃＃＃＃＃＃＃]
## Example 3[＃示例3]
############[＃＃＃＃＃＃＃＃＃＃＃]
data(swissmunicipalities)
swiss=swissmunicipalities
X=cbind(swiss$HApoly,
swiss$Surfacesbois,
swiss$P00BMTOT,
swiss$P00BWTOT,
swiss$POPTOT,
swiss$Pop020,
swiss$Pop2040,
swiss$Pop4065,
swiss$Pop65P,
swiss$H00PTOT )
pik=inclusionprobabilities(swiss$POPTOT,400)
sample=balancedstratification(X,swiss$REG,pik,comment=TRUE)
#the sample is[样品是]
as.character(swiss$Nom[sample==1])
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
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发表于 2012-9-29 21:46:50
