clean = function(xx) {
xxmin = min(xx)
idx = which(xx <= 1.05 * xxmin)
xtx = sapply(xx, function(xxx)sprintf("%.3f", round(xxx, 3)))
xtx[idx] = paste(" \\bf", xtx[idx])
xtx
}
process.fnm = function(filenames) {
ret = sapply(filenames, function(fnm) {
load(fnm)
spec = c(beta=beta.setup, prop=prop.setup, n=n, p=p, eps=eps, C=C, extra=extra.param)
tau = results[1,]
estimates = results[-1,]
err = t(t(estimates) - tau)
rmse.est = sqrt(rowMeans(err^2))
err.summary = clean(rmse.est)
err.summary = err.summary[c(1, 2, 5, 4, 6, 7, 8, 9, 3)]
c(spec, err.summary)
})
data.frame(t(ret))
}
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