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July 28, 2012 13:45
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example of a test design and mixed effect analysis for measuring polywell performance and characterizing symmetry
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# file: polywell_sym.R | |
# example of a test design and mixed effect analysis for measuring | |
# polywell performance and characterizing symmetry | |
# author: Josh Stults, www.variousconsequences.com | |
# date: 28 July 2012 | |
# see also: | |
# http://prometheusfusionperfection.com/2012/07/27/symmetry-test/ | |
# http://cran.r-project.org/web/packages/AlgDesign/index.html | |
# www.stat.wisc.edu/~bates/IMPS2008/lme4D.pdf | |
# clear the workspace: | |
rm(list=ls()) | |
# for doing design of experiments: | |
library(AlgDesign) | |
# for fitting mixed effects models: | |
library(lme4) | |
# 7 probe locations: six faces of the cube and the center | |
probeloc = unique(rbind(gen.factorial(levels=c(3,1,1),nVars=3,varNames=c("x","y","z")),gen.factorial(levels=c(1,3,1),nVars=3,varNames=c("x","y","z")),gen.factorial(levels=c(1,1,3),nVars=3,varNames=c("x","y","z")))) | |
# three run design: | |
dx.1 = optBlock(~x+y+z, withinData=probeloc, blocksizes=rep(3,3), wholeBlockData=data.frame(run=seq(1,3))) | |
# four run design: | |
dx.2 = optBlock(~x+y+z, withinData=probeloc, blocksizes=rep(3,4), wholeBlockData=data.frame(run=seq(1,4))) | |
# five run design: | |
dx.3 = optBlock(~x+y+z, withinData=probeloc, blocksizes=rep(3,5), wholeBlockData=data.frame(run=seq(1,5))) | |
# fitting the mixed effects model to a dummy response: | |
dummydat = transform(dx.3$design, dummy.response=rnorm(nrow(dx.3$design))) | |
lm.1 = lmer(dummy.response ~ x + y + z + (1|run), data=dummydat) |
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