Example data sets
pmplots_data()
pmplots_data_id()
pmplots_data_obs()
head(pmplots_data_obs())
#> # A tibble: 6 × 46
#> C NUM ID SUBJ TIME SEQ CMT EVID AMT DV AGE WT CRCL
#> <lgl> <int> <int> <int> <dbl> <int> <int> <int> <int> <dbl> <dbl> <dbl> <dbl>
#> 1 NA 2 1 1 0.61 1 2 0 NA 61.0 28.0 55.2 114.
#> 2 NA 3 1 1 1.15 1 2 0 NA 91.0 28.0 55.2 114.
#> 3 NA 4 1 1 1.73 1 2 0 NA 122. 28.0 55.2 114.
#> 4 NA 5 1 1 2.15 1 2 0 NA 126. 28.0 55.2 114.
#> 5 NA 6 1 1 3.19 1 2 0 NA 84.7 28.0 55.2 114.
#> 6 NA 7 1 1 4.21 1 2 0 NA 62.1 28.0 55.2 114.
#> # ℹ 33 more variables: ALB <dbl>, BMI <dbl>, AAG <dbl>, SCR <dbl>, AST <dbl>,
#> # ALT <dbl>, HT <dbl>, CP <int>, TAFD <dbl>, TAD <dbl>, LDOS <int>,
#> # MDV <int>, BLQ <int>, PHASE <int>, STUDY <int>, RF <fct>, `102` <int>,
#> # IPRED <dbl>, CWRESI <dbl>, NPDE <dbl>, PRED <dbl>, RES <dbl>, WRES <dbl>,
#> # CL <dbl>, V2 <dbl>, KA <dbl>, ETA1 <dbl>, ETA2 <dbl>, ETA3 <dbl>,
#> # DOSE <int>, STUDYc <fct>, CPc <fct>, CWRES <dbl>
head(pmplots_data_id())
#> # A tibble: 6 × 45
#> C NUM ID SUBJ TIME SEQ CMT EVID AMT DV AGE WT CRCL
#> <lgl> <int> <int> <int> <dbl> <int> <int> <int> <int> <dbl> <dbl> <dbl> <dbl>
#> 1 NA 1 1 1 0 0 1 1 5 0 28.0 55.2 114.
#> 2 NA 17 2 2 0 0 1 1 5 0 34.7 51.7 101.
#> 3 NA 33 3 3 0 0 1 1 5 0 26.2 54.8 99.0
#> 4 NA 49 4 4 0 0 1 1 5 0 22.9 82.9 104.
#> 5 NA 65 5 5 0 0 1 1 5 0 36.5 97.2 103.
#> 6 NA 81 6 6 0 0 1 1 10 0 22.1 70.0 120.
#> # ℹ 32 more variables: ALB <dbl>, BMI <dbl>, AAG <dbl>, SCR <dbl>, AST <dbl>,
#> # ALT <dbl>, HT <dbl>, CP <int>, TAFD <dbl>, TAD <dbl>, LDOS <int>,
#> # MDV <int>, BLQ <int>, PHASE <int>, STUDY <int>, RF <fct>, `102` <int>,
#> # IPRED <dbl>, CWRESI <dbl>, NPDE <dbl>, PRED <dbl>, RES <dbl>, WRES <dbl>,
#> # CL <dbl>, V2 <dbl>, KA <dbl>, ETA1 <dbl>, ETA2 <dbl>, ETA3 <dbl>,
#> # DOSE <int>, STUDYc <fct>, CPc <fct>