# Bootstrap assessment of data (two groups) by aid of bootstrap_f2() function
# by using 'rand_mode = "complete"' (the default, randomisation of complete
# profiles)
bs1 <- bootstrap_f2(data = dip2[dip2$batch %in% c("b0", "b4"), ],
tcol = 5:8, grouping = "batch", rand_mode = "complete",
rr = 200, new_seed = 421, use_ema = "no")
\dontrun{
pbs1 <- plot(bs1)
# The plot() function returns the 'plot_mztia' object invisibly.
class(bs1)
class(pbs1)
}
# Use of 'rand_mode = "individual"' (randomisation per time point)
bs2 <- bootstrap_f2(data = dip2[dip2$batch %in% c("b0", "b4"), ],
tcol = 5:8, grouping = "batch", rand_mode = "individual",
rr = 200, new_seed = 421, use_ema = "no")
\dontrun{
plot(bs2)
}
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