sampling(simFrame)
sampling()所属R语言包：simFrame
Random sampling
随机抽样
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Functions for random sampling.
随机抽样的功能。
用法----------Usage----------
srs(N, size, replace = FALSE)
ups(N, size, prob, replace = FALSE)
brewer(prob, eps = 1e-06)
midzuno(prob, eps = 1e-06)
tille(prob, eps = 1e-06)
参数----------Arguments----------
参数：N
a non-negative integer giving the number of observations from which to sample.
一个非负的整数，从样品给予观测值的数量。
参数：size
a non-negative integer giving the number of observations to sample.
一个非负的整数，给予观测值的数量的样本。
参数：prob
for ups, a numeric vector giving the probability weights (see sample). For tille and midzuno, a vector of inclusion probabilities (see inclusionProb).
ups，给一个数值向量的概率权重（见sample）。对于tille和midzuno，包含概率的向量（见inclusionProb）。
参数：replace
a logical indicating whether sampling should be performed with or without replacement.
逻辑是否应进行采样或无需更换。
参数：eps
a numeric control value giving the desired accuracy.
一个数字控制值，得到所需要的精度。
Details
详细信息----------Details----------
srs and ups are wrappers for simple random sampling and unequal probability sampling, respectively. Both functions make use of sample.
srs和ups是包装为简单随机抽样，不等概率抽样，分别。这两个函数使用的sample。
brewer, midzuno and tille perform Brewer's, Midzuno's and Till茅's method, respectively, for unequal probability sampling without replacement and fixed sample size.
brewer，midzuno和tille执行布鲁尔，Midzuno的和Tillé的方法，分别，无需更换和固定样本大小不等概率抽样。
值----------Value----------
An integer vector giving the indices of the sampled observations.
的整数向量给的指数，其中采样的观测。
注意----------Note----------
brewer, midzuno and tille are faster C++ implementations of UPbrewer, UPmidzuno and UPtille, respectively, from package sampling.
brewer，midzuno和tille是更快的C + +实现的UPbrewer，UPmidzuno和UPtille，分别从包sampling。
（作者）----------Author(s)----------
Andreas Alfons
参考文献----------References----------
Australian Journal of Statistics, 17(3), 166-172.
of size. Annals of the Institute of Statistical Mathematics, 3(2), 99–107.
sampling without replacement. Biometrika, 83(1), 238–241.
without replacement through a splitting method. Biometrika, 85(1), 89–101.
参见----------See Also----------
"SampleControl", "TwoStageControl", setup, inclusionProb, sample, UPbrewer, UPmidzuno, UPtille
"SampleControl"，"TwoStageControl"，setup，inclusionProb，sample，UPbrewer，UPmidzuno，UPtille
实例----------Examples----------
## simple random sampling[＃简单随机抽样]
# without replacement[无需更换]
srs(10, 5)
# with replacement[与更换]
srs(5, 10, replace = TRUE)
## unequal probability sampling[＃不等概率抽样]
# without replacement[无需更换]
ups(10, 5, prob = 1:10)
# with replacement[与更换]
ups(5, 10, prob = 1:5, replace = TRUE)
## Brewer, Midzuno and Tille sampling[＃布鲁尔，Midzuno和采样Tille]
# define inclusion probabilities[定义包含概率]
prob <- c(0.2,0.7,0.8,0.5,0.4,0.4)
# Brewer sampling[布鲁尔采样]
brewer(prob)
# Midzuno sampling[Midzuno采样]
midzuno(prob)
# Tille sampling[Tille采样]
tille(prob)
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 2012-9-30 02:43:24
