Nothing
Code
tail(as.data.frame(xpdb$data$data[[1]]))
Output
Subject Nom_Time Act_Time Amount Conc Age BodyWeight Gender Subject1
107 16 1 0.47 NA 1190 44 44 male 16
108 16 1 0.85 NA 535 44 44 male 16
109 16 2 1.95 NA 333 44 44 male 16
110 16 4 3.91 NA 341 44 44 male 16
111 16 8 7.98 NA 273 44 44 male 16
112 16 24 24.19 NA 101 44 44 male 16
Subject2 ID WhichReset TIME V Cl V2 Cl2 IVAR
107 16 16_16_16 0 0.47 13.07169 3.245687 41 18.13947 0.47
108 16 16_16_16 0 0.85 13.07169 3.245687 41 18.13947 0.85
109 16 16_16_16 0 1.95 13.07169 3.245687 41 18.13947 1.95
110 16 16_16_16 0 3.91 13.07169 3.245687 41 18.13947 3.91
111 16 16_16_16 0 7.98 13.07169 3.245687 41 18.13947 7.98
112 16 16_16_16 0 24.19 13.07169 3.245687 41 18.13947 24.19
TAD PRED IPRED DV IRES PREDSE Weight IWRES
107 0.47 944.490 960.472 1190 229.528000 NA 1.08400e-06 1.4328200
108 0.85 586.594 634.709 535 -99.708900 NA 2.48228e-06 -0.9418900
109 1.95 264.073 368.666 333 -35.665900 NA 7.35757e-06 -0.5800440
110 3.91 181.940 305.362 341 35.638000 NA 1.07243e-05 0.6997440
111 7.98 120.996 244.392 273 28.608100 NA 1.67427e-05 0.7018490
112 24.19 24.467 101.395 101 -0.395297 NA 9.72667e-05 -0.0233747
WRES CWRES CdfDV ObsName WhichDose nCl nCl2 EVID
107 0.537287 0.396066 0 CObs 1 -0.7644766 0.2581289 0
108 -1.427600 -1.465010 0 CObs 1 -0.7644766 0.2581289 0
109 0.822627 0.586941 0 CObs 1 -0.7644766 0.2581289 0
110 1.694720 1.344000 0 CObs 1 -0.7644766 0.2581289 0
111 1.458250 0.532308 0 CObs 1 -0.7644766 0.2581289 0
112 4.383730 -0.405307 0 CObs 1 -0.7644766 0.2581289 0
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