# Estimation of the parameters for Hotelling's two-sample T2 statistic
# (for small samples)
hs <- get_T2_two(m1 = as.matrix(dip1[dip1$type == "R", c("t.15", "t.90")]),
m2 = as.matrix(dip1[dip1$type == "T", c("t.15", "t.90")]),
signif = 0.1)
# Estimation of the similarity limit in terms of the "Multivariate Statistical
# Distance" (MSD)for a "maximum tolerable average difference" (mtad) of 10
res <- get_sim_lim(mtad = 15, hs)
# Expected results in res
# DM df1 df2 alpha
# 1.044045e+01 2.000000e+00 9.000000e+00 1.000000e-01
# K k T2 F
# 1.350000e+00 3.000000e+00 3.270089e+02 1.471540e+02
# ncp.Hoffelder F.crit F.crit.Hoffelder p.F
# 2.782556e+02 3.006452e+00 8.357064e+01 1.335407e-07
# p.F.Hoffelder MTAD Sim.Limit
# 4.822832e-01 1.500000e+01 9.630777e+00
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