9  Wrapped plots

9.1 Setup

Wrapped plots are like the other standardized plots we have seen in the gallery so far, but they allow for a simple faceting using ggplot2::facet_wrap().

The data are identical to the data used for the other series of plots and do not require any special configuration.

head(as.data.frame(df), n=3)
   C NUM ID SUBJ TIME SEQ CMT EVID AMT      DV   AGE    WT   CRCL ALB   BMI
1 NA   2  1    1 0.61   1   2    0  NA  61.005 28.03 55.16 114.45 4.4 21.67
2 NA   3  1    1 1.15   1   2    0  NA  90.976 28.03 55.16 114.45 4.4 21.67
3 NA   4  1    1 1.73   1   2    0  NA 122.210 28.03 55.16 114.45 4.4 21.67
     AAG  SCR   AST   ALT     HT CP TAFD  TAD LDOS MDV BLQ PHASE STUDY   RF 102
1 106.36 1.14 11.88 12.66 159.55  0 0.61 0.61    5   0   0     1     1 norm   1
2 106.36 1.14 11.88 12.66 159.55  0 1.15 1.15    5   0   0     1     1 norm   1
3 106.36 1.14 11.88 12.66 159.55  0 1.73 1.73    5   0   0     1     1 norm   1
   IPRED    CWRESI     NPDE   PRED      RES     WRES     CL     V2    KA
1 69.502 -0.621370 -0.62293 60.886  0.11865 -0.56749 2.5927 40.287 1.452
2 91.230  0.089509  0.27064 78.945 12.03100  0.13248 2.5927 40.287 1.452
3 97.076  1.598600  1.55480 83.523 38.68700  1.62720 2.5927 40.287 1.452
     ETA1     ETA2      ETA3 DOSE STUDYc    CPc     CWRES
1 -0.0753 -0.18403 -0.095308    5    SAD normal -0.621370
2 -0.0753 -0.18403 -0.095308    5    SAD normal  0.089509
3 -0.0753 -0.18403 -0.095308    5    SAD normal  1.598600

9.2 Histogram

wrap_hist(
  df, 
  x = c("WT", "ALB", "SCR"), 
  scales = "free", 
  bins = 10, 
  ncol = 2
)

9.3 ETA versus continuous

wrap_eta_cont(
  df, 
  y = "ETA1", 
  x = c("WT", "ALB"), 
  scales = "free_x"
)

9.4 Continuous on categorical

wrap_cont_cat(
  df, 
  y = c("WT", "CRCL", "AAG"), 
  x = "STUDYc", 
  ncol = 2
)

9.5 Continuous on continuous

wrap_cont_cont(
  df, 
  y = "CWRES" , 
  x = c("WT", "CRCL", "AAG"), 
  ncol = 2, scales = "free_x"
)

9.6 Residuals versus time

wrap_res_time(
  df, 
  y = c("RES", "WRES", "CWRES"), 
  ncol = 2, scales = "free_y"
)

9.7 DV/PRED and DV/IPRED

wrap_dv_preds(df, ncol = 2)

9.8 Use labels in the strip

wrap_eta_cont(
  df, 
  y = "ETA1", 
  x = c("WT//Weight (kg)", "ALB//Albumin (g/dL)"),
  scales = "free_x", 
  use_labels = TRUE
)