能夠處理複雜抽樣統計的軟件，大約有SUDAAN、SAS、STATA、R及SPSS，前4項都是需要編程的，SPSS則以菜單的形式操作。4個編程的軟件中，以其編程簡潔度來說，據聞首是STATA，其次是R；5者中只有R是免費開源的。所以較理想的選擇應是R吧!
R軟件內，處理複雜抽樣的包是”survey”，先要安裝和載入：
data(api) #為survey包內的數據
 |
| survey包內附帶的api數據 |
str(apipop)
summary(apipop)
mean(apipop$api00) #若將複雜抽樣的數據當作隨機抽樣來處理，結果: 664.7126
sum(apipop$enroll,na.rm = T) #結果: 3811472
#Specifying a
complex survey design
dstrat<-svydesign(ids=~1,
strata = ~stype, weights = ~pw, data = apistrat, fpc = ~fpc)
#定義複雜抽樣的數據
#ids/id 必定項, 取值0~1,
#strata 分層變項
#weights 加權變項
#fpc 有限總體的人數
summary(dstrat)
#Stratified Independent Sampling design
#svydesign(ids=~1, strata=~stype, weights=~pw, data= pistrat, fpc=~fpc)
#Probabilities:
# Min. 1st Qu. Median Mean 3rd Qu. Max.
#0.02262 0.02262 0.03587 0.04014 0.05339 0.06623
#Stratum Sizes:
# E H M
#obs 100 50 50
#design.PSU 100 50 50
#actual.PSU 100 50 50
#Population stratum sizes (PSUs):
# E H M
#4421 755 1018
#Data variables:
# [1] "cds" "stype" "name" "sname" "snum" "dname"
# [7] "dnum" "cname" "cnum" "flag" "pcttest" "api00"
#[13] "api99" "target" "growth" "sch.wide" "comp.imp" "both"
#[19] "awards" "meals" "ell" "yr.rnd" "mobility" "acs.k3"
#[25] "acs.46" "acs.core" "pct.resp" "not.hsg" "hsg" "some.col"
#[31] "col.grad" "grad.sch" "avg.ed" "full" "emer" "enroll"
#[37] "api.stu" "pw" "fpc"
svymean(~api00,dstrat,deff=T)
# mean SE DEff
#api00 662.2874 9.4089 1.2045
#與上述當作隨機抽樣的結果相比較, 複雜抽樣的均數是662.2874, 是有分別的.
svytotal(~enroll,dstrat,deff=T)
#計算總數
svyquantile(~api00,dstrat,c(0.25,0.5,0.75))
#計算四分位數
svyvar(~api00,dstrat)
#計算方差
svyratio(~api.stu,~enroll,dstrat)
#計算率
#One stage cluster sample
dclus1<-svydesign(id=~dnum, weights = ~pw, data = apiclus1,
fpc=~fpc)
summary(dclus1)
svymean(~interaction(stype,comp.imp),dclus1)
#交互項的平均值
#Two stage cluster sample
dclus2<-svydesign(id=~dnum+snum,fpc=~fpc1+fpc2,data =
apiclus2)
summary(dclus2)
#Two stage 'with replacement'
dclus2wr<-svydesign(id=~dnum+snum,weights=~pw,
data=apiclus2)
summary(dclus2wr)
參考文獻: (哈哈 =.=! 忘記了, 互聯網上的標準示範)
參考資料: http://knutur.at/wsmt/cs-materials.pdf 
至於很多人說的, 所謂"學習曲線", 各人而異... 我在
估不到那次到台灣的誠品書店閒逛時郤發現了它, 是台灣的中翻本, 而且不貴, 便買了下來. 當然它也有英文版呢~ 國內也有人掃瞄後上傳到互聯網. 但是我個人的經驗是: 統計本來就是一門難理解的學科, 若加上了語言的問題, 肯定更難理解; 所以我仍首選讀它的中翻本.
