Nothing
## ---- eval=FALSE--------------------------------------------------------------
# library(nmfem)
## ---- eval = FALSE------------------------------------------------------------
# ID <- travelers[ ,1]
# travelers <- travelers[ ,-1]
## ---- eval = FALSE------------------------------------------------------------
# nmfem_mult_modelselection(travelers, save = TRUE)
## ---- eval=FALSE--------------------------------------------------------------
# K = 10
# H = 5
#
# load(file = paste0("Matrices/Matrices_H",H,"_K",K,".RData"))
## ----eval=FALSE---------------------------------------------------------------
#
# profiles <- as.data.frame(t(Theta %*% Lambda))
#
# display_profile(profiles[1, ], language = "en")
# display_profile(profiles[2, ], language = "en")
# display_profile(profiles[3, ], language = "en")
# display_profile(profiles[4, ], language = "en")
# display_profile(profiles[5, ], language = "en")
# display_profile(profiles[6, ], language = "en")
# display_profile(profiles[7, ], language = "en")
# display_profile(profiles[8, ], language = "en")
# display_profile(profiles[9, ], language = "en")
# display_profile(profiles[10, ], language = "en")
#
# display_profile(t(Theta[ ,1]), color = "Purples", language = "en")
# display_profile(t(Theta[ ,2]), color = "PuRd", language = "en")
# display_profile(t(Theta[ ,3]), color = "Oranges", language = "en")
# display_profile(t(Theta[ ,4]), color = "Reds", language = "en")
# display_profile(t(Theta[ ,5]), color = "Greens", language = "en")
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