summary.sample: Summarizes objects of class 'sample'.

In david-borchers/sampling: Module MT4608 Sampling Theory Practical Package

Summarizes objects of class 'sample'.

Description

This function generates a summary of a sample in an object of class 'sample'.

Usage

  summary.sample(dat)
  summary(dat)

Arguments

dat	Object of class 'sample.

Details

Summarises an object of class 'sample'.

Value

The function prints a summary.

See Also

summary.finite.sample.dbn

Examples

             data(barnett) # get barnett data
             
             # total weight of class from srs:
             samp<-take.sample(barnett,y.name="weight",n=6)
             # estimate total
             summary(samp)
             
             # proportion of class with weight more than 15 from srs:
             samp<-take.sample(barnett,y.name="weight",n=6)
             # estimate total
             summary(samp)
             
             # Stratified mean
             # Define 4 strata based on weight, with 10 lb interval widths:
             strat.barnett<-define.subunit(barnett,aux.name="weight",
             breaks=c(0,10,20,30,40),type="strat")
             # take stratified sample
             samp<-take.sample(strat.barnett,y.name="height",type="strat",
             n=c(2,5,4,2))
             # estimate mean height using stratified estimator
             summary(samp)
             
             # Cluster mean
             # Define 4 clusters based on weight, with 10 lb interval widths:
             clust.barnett<-define.subunit(barnett,aux.name="weight",
             breaks=c(0,10,20,30,40),type="clust")
             # take cluster sample of size 2
             samp<-take.sample(clust.barnett,y.name="height",type="clust",m=2)
             # estimate mean height using cluster estimator
             summary(samp)
             
             # Ratio estimator
             # take srs of size 6, with weight as auxiliary variable:
             samp<-take.sample(clust.barnett,y.name="height",aux.name="weight",
             type="srs",n=6)
             # estimate mean height using cluster estimator
             summary(samp)
             

david-borchers/sampling documentation built on Sept. 17, 2022, 7:54 a.m.