a****y
发帖数: 91 | 1 I am trying to understand the sampling from the following description. Does
anyone know how they get the sample stratum sizes: 10,5,10,4,6. Thanks a lot!
Generates artificial data (a 235X3 matrix with 3 columns: state, region,
income).
# The variable "state" has 2 categories (nc and sc).
# The variable "region" has 3 categories (1, 2 and 3).
# The sampling frame is stratified by region within state.
data=rbind(matrix(rep("nc",165),165,1,byrow=TRUE),matrix(rep("sc",70),70,1,
byrow=TRUE))
data=cbind.data.frame(data,c(rep(1,100), rep(2,50), rep(3,15), rep(1,30),rep
(2,40)),1000*runif(235))
names(data)=c("state","region","income")
# Computes the population stratum sizes
table(data$region,data$state)
# do not run
# nc sc
# 1 100 30
# 2 50 40
# 3 15 0
# there are 5 cells with non-zero values; one draws 5 samples (1 sample in
each stratum)
# the sample stratum sizes are 10,5,10,4,6, respectively | A*****a
发帖数: 1091 | 2 看了下这个完整的例子，他只是随意指定了size，来举例怎么使用strata这个命令罢了吧
Does
lot!
rep
【在 a****y 的大作中提到】
: I am trying to understand the sampling from the following description. Does
: anyone know how they get the sample stratum sizes: 10,5,10,4,6. Thanks a lot!
: Generates artificial data (a 235X3 matrix with 3 columns: state, region,
: income).
: # The variable "state" has 2 categories (nc and sc).
: # The variable "region" has 3 categories (1, 2 and 3).
: # The sampling frame is stratified by region within state.
: data=rbind(matrix(rep("nc",165),165,1,byrow=TRUE),matrix(rep("sc",70),70,1,
: byrow=TRUE))
: data=cbind.data.frame(data,c(rep(1,100), rep(2,50), rep(3,15), rep(1,30),rep
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