S.STPPS(TeachingSampling)
S.STPPS()所属R语言包：TeachingSampling
Stratified Sampling Appliying PPS Design in all Strata
在所有Strata设计的分层抽样Appliying的PPS
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Draws a probability proportional to size simple random sample with
绘制的概率规模成比例的简单随机抽样
用法----------Usage----------
S.STPPS(S,x,mh)
参数----------Arguments----------
参数：S
Vector identifying the membership to the strata of each unit in the population
矢量确定会员资格的阶层，各单位在人口
参数：x
Vector of auxiliary information for each unit in the population
人口的辅助信息中的每个单元的向量
参数：mh
Vector of sample size in each stratum
在各阶层向量的样本量
Details
详细信息----------Details----------
The selected sample is drawn acording to the cumulative total method (sequential-list procedure) in each stratum
所选取的样本绘制该院在各阶层的累积总数方法（顺序列表程序）
值----------Value----------
The function returns a matrix of m=m_1+\cdots+m_h rows and two columns. Each element of the first column indicates the unit that
该函数返回一个m=m_1+\cdots+m_h行两列的矩阵。的第一列的每一个元素表示的单元，其
（作者）----------Author(s)----------
Hugo Andr茅s Guti茅rrez Rojas <a href="mailto:hugogutierrez@usantotomas.edu.co">hugogutierrez@usantotomas.edu.co</a>
参考文献----------References----------
S盲rndal, C-E. and Swensson, B. and Wretman, J. (1992), Model Assisted Survey Sampling. Springer. <br> Guti茅rrez, H. A. (2009), Estrategias de muestreo: Dise帽o de encuestas y estimaci贸n de par谩metros. Editorial Universidad Santo Tom谩s.
参见----------See Also----------
E.STPPS
E.STPPS
实例----------Examples----------
############[＃＃＃＃＃＃＃＃＃＃＃]
## Example 1[＃示例1]
############[＃＃＃＃＃＃＃＃＃＃＃]
# Vector U contains the label of a population of size N=5[向量u包含标签的大小为N = 5的人口]
U <- c("Yves", "Ken", "Erik", "Sharon", "Leslie")
# The auxiliary information[的辅助信息]
x <- c(52, 60, 75, 100, 50)
# Vector Strata contains an indicator variable of stratum membership [矢量地层包含的指标阶层的成员变量]
Strata <- c("A", "A", "A", "B", "B")
# Then sample size in each stratum[在各阶层的样本量]
mh <- c(2,2)
# Draws a stratified PPS sample with replacement of size n=4[绘制分层PPS样本大小为n = 4的更换]
res <- S.STPPS(Strata, x, mh)
# The selected sample[所选样本]
sam <- res[,1]
U[sam]
# The selection probability of each unit selected to be in the sample[每个单元的选择概率选择样品中]
pk <- res[,2]
pk
############[＃＃＃＃＃＃＃＃＃＃＃]
## Example 2[＃示例2]
############[＃＃＃＃＃＃＃＃＃＃＃]
# Uses the Marco and Lucy data to draw a stratified random sample [Marco和露西的数据来得出一个分层随机抽样]
# according to a PPS design in each stratum[根据各阶层的PPS设计]
data(Marco)
data(Lucy)
attach(Lucy)
# Level is the stratifying variable[级别是分层的变量]
summary(Level)
# Defines the sample size at each stratum[在每一层定义的样本大小]
m1<-14
m2<-123
m3<-263
mh<-c(m1,m2,m3)
# Draws a stratified sample[绘制分层抽样]
res<-S.STPPS(Level, Income, mh)
# The selected sample[所选样本]
sam<-res[,1]
# The information about the units in the sample is stored in an object called data[有关样品中的单位的信息被存储在一个对象被称为数据]
data <- Lucy[sam,]
data
dim(data)
# The selection probability of each unit selected in the sample[样品中选定的每个单元的选择概率]
pk <- res[,2]
pk
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。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-10-1 08:58:26
