boot {eba} | R Documentation |
Performs a bootstrap by resampling the individual data matrices.
boot(D, R = 100, A = 1:I, s = rep(1/J, J))
D |
a 3d array consisting of the individual paired comparison matrices |
R |
the number of bootstrap samples |
A |
a list of vectors consisting of the stimulus aspects; the default is 1:I, where I is the number of stimuli |
s |
the starting vector with default 1/J for all parameters, where J is the number of parameters |
The bootstrap function eba.boot is called automatically by boot.
p |
the matrix of bootstrap vectors |
stat |
the matrix of bootstrap statistics, including parameter means, standard errors, and confidence limits |
Florian Wickelmaier wickelmaier@web.de
data(pork) # pork tasting data, 10 individual paired comparison matrices eba = OptiPt(apply(pork,1:2,sum)) # fit a BTL model b = boot(pork,200) # resample 200 times plot(eba$estimate,b$stat[,'mean'],log='xy') abline(0,1,lty=3)