1 Demo model
2 Single dose
3 Multi dose
4 Compare
. Model: test
. Dim: 2600 x 5
. Time: 0 to 24
. ID: 100
. ID time CENT ETA1 ETA2
. 1: 1 0 0.00 1.75 -1.404
. 2: 1 0 100.00 1.75 -1.404
. 3: 1 1 95.12 1.75 -1.404
. 4: 1 2 90.48 1.75 -1.404
. 5: 1 3 86.07 1.75 -1.404
. 6: 1 4 81.87 1.75 -1.404
. 7: 1 5 77.88 1.75 -1.404
. 8: 1 6 74.08 1.75 -1.404
. Model: test
. Dim: 24200 x 5
. Time: 0 to 240
. ID: 100
. ID time CENT ETA1 ETA2
. 1: 1 0 0.00 1.75 -1.404
. 2: 1 0 100.00 1.75 -1.404
. 3: 1 1 95.12 1.75 -1.404
. 4: 1 2 90.48 1.75 -1.404
. 5: 1 3 86.07 1.75 -1.404
. 6: 1 4 81.87 1.75 -1.404
. 7: 1 5 77.88 1.75 -1.404
. 8: 1 6 74.08 1.75 -1.404
. # A tibble: 100 × 5
. ID time CENT ETA1 ETA2
. <dbl> <dbl> <dbl> <dbl> <dbl>
. 1 1 0 0 1.75 -1.40
. 2 2 0 0 0.00190 -0.417
. 3 3 0 0 1.26 1.88
. 4 4 0 0 0.554 0.360
. 5 5 0 0 0.863 -2.79
. 6 6 0 0 -0.913 -0.223
. 7 7 0 0 -1.12 0.548
. 8 8 0 0 -0.108 -1.19
. 9 9 0 0 -0.405 0.660
. 10 10 0 0 -1.24 -1.06
. # … with 90 more rows
. # A tibble: 100 × 5
. ID time CENT ETA1 ETA2
. <dbl> <dbl> <dbl> <dbl> <dbl>
. 1 1 0 0 1.75 -1.40
. 2 2 0 0 0.00190 -0.417
. 3 3 0 0 1.26 1.88
. 4 4 0 0 0.554 0.360
. 5 5 0 0 0.863 -2.79
. 6 6 0 0 -0.913 -0.223
. 7 7 0 0 -1.12 0.548
. 8 8 0 0 -0.108 -1.19
. 9 9 0 0 -0.405 0.660
. 10 10 0 0 -1.24 -1.06
. # … with 90 more rows
4.1 Identical in the first day …
4.2 … but not after that
. # A tibble: 0 × 5
. # … with 5 variables: ID <dbl>, time <dbl>, CENT <dbl>, ETA1 <dbl>, ETA2 <dbl>
. # A tibble: 21,600 × 5
. ID time CENT ETA1 ETA2
. <dbl> <dbl> <dbl> <dbl> <dbl>
. 1 1 25 124. 1.75 -1.40
. 2 1 26 118. 1.75 -1.40
. 3 1 27 112. 1.75 -1.40
. 4 1 28 107. 1.75 -1.40
. 5 1 29 101. 1.75 -1.40
. 6 1 30 96.4 1.75 -1.40
. 7 1 31 91.7 1.75 -1.40
. 8 1 32 87.2 1.75 -1.40
. 9 1 33 83.0 1.75 -1.40
. 10 1 34 78.9 1.75 -1.40
. # … with 21,590 more rows