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), constrained = TRUE)
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 |
constrained |
logical, if TRUE (default), parameters are constrained to be positive |
The bootstrap functions eba.boot.constrained
and eba.boot
are called automatically by boot
.
The code is experimental and may change in the future.
p |
the matrix of bootstrap vectors |
stat |
the matrix of bootstrap statistics, including parameter means, standard errors, and confidence limits |
eba
.
data(pork) # pork tasting data, 10 individual paired comparison matrices btl1 <- eba(apply(pork, 1:2, sum)) # fit a BTL model b <- boot(pork, 200) # resample 200 times plot(btl1$estimate, b$stat[,'mean'], log='xy') abline(0, 1, lty=2)