sample.ratio: Demonstrate the ratio estimation in sampling survey

Description Usage Arguments Details Value Author(s) References See Also

View source: R/sample.ratio.R

Description

This function demonstrates the advantage of ratio estimation when further information (ratio) about x and y is available.

Usage

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sample.ratio(
  X = runif(50, 0, 5),
  R = 1,
  Y = R * X + rnorm(X),
  size = length(X)/2,
  p.col = c("blue", "red"),
  p.cex = c(1, 3),
  p.pch = c(20, 21),
  m.col = c("black", "gray"),
  legend.loc = "topleft",
  ...
)

Arguments

X

the X variable (ancillary)

R

the population ratio Y/X

Y

the Y variable (whose mean we what to estimate)

size

sample size

p.col, p.cex, p.pch

point colors, magnification and symbols for the population and sample respectively

m.col

color for the horizontal line to denote the sample mean of Y

legend.loc

legend location: topleft, topright, bottomleft, bottomright, ... (see legend)

...

other arguments passed to plot.default

Details

From this demonstration we can clearly see that the ratio estimation is generally better than the simple sample average when the ratio R really exists, otherwise ratio estimation may not help.

Value

A list containing

X

X population

Y

Y population

R

population ratio

r

ratio calculated from samples

Ybar

population mean of Y

ybar.simple

simple sample mean of Y

ybar.ratio

sample mean of Y via ratio estimation

Author(s)

Yihui Xie

References

Examples at https://yihui.org/animation/example/sample-ratio/

See Also

sample, sample.simple, sample.cluster, sample.strat, sample.system


animation documentation built on Oct. 7, 2021, 9:18 a.m.