View source: R/anm.samp.design.R
anm.samp.design | R Documentation |
Animated Comparisons of outcomes from simple random sampling, stratified random sampling and cluster sampling.
anm.samp.design(n=20, interval = 0.5 ,iter = 30, main = "", lwd = 2, lcol = 2)
samp.design(n = 20, main = "", lwd = 2, lcol = 2)
anm.samp.design.tck()
n |
The number of samples to be randomly selected from a population of 400. |
interval |
Time length spent on each frame in animation (in seconds). |
iter |
Number of random iterations in animation. |
main |
Main heading. |
lwd |
Line width to distinguish strata in stratified and cluster designs. |
lcol |
Line width to distinguish strata in stratified and cluster designs. |
Returns a plot comparing outcomes of random sampling, stratified random sampling and cluster sampling from a population
of size 400. For stratified random sampling the population is subdivided into four equally strata of size 100.
and n
/4 samples are taken within each strata. For cluster sampling the population is subdivided into four
equally sized clusters and a census is taken from two clusters (regardless of specification of n
). The function anm.samp.design
depicts random sampling using animation
A plot is returned with four subplots. (a) shows the population before sampling, (b) shows simple random sampling, (c) shows stratified random sampling, (d) shows cluster sampling. The function anm.samp.design.tck
provides interaction with a tcltk GUI.
Ken Aho
samp.design(20)
#Animated demonstration
## Not run: anm.samp.design(20)
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