Parameters vs continuous covariates correlations

Returns a matrix of the selected parameters and continuous covariates correlations.

summarize_parameters_vs_continuous_covariates(run, parameters = NULL,
  covariates = NULL, baseline_only = TRUE, correlation_method = NULL,
  auto_order = TRUE)

Arguments

run	pmxploit NONMEM run object.
parameters	character vector of parameters names. Default is NULL, returning all individual parameters (random and post-hoc).
covariates	character vector of continous covariates names. Default is NULL, returning all continuous covariates.
baseline_only	logical. Consider only the baseline (= first) values of the subjects. Default is TRUE.
correlation_method	a character string indicating which correlation coefficient (or covariance) is to be computed. One of "pearson" (default), "kendall", or "spearman": can be abbreviated. If type = "scatterplot", "pearson" method will be used.
auto_order	logical. If type = "heatmap", auto-orders the matrix with respect to the distances between values. Default is TRUE.

Value

A matrix.

Examples

EXAMPLERUN %>% summarize_parameters_vs_continuous_covariates()
#> Correlations are not computed for parameter(s) with one unique value: KON, V2, ALAG1
#>      Glomerular filtration rate (mL/min) Creatinine clearance (mL/min)
#> V1                          -0.128873195                    0.22774877
#> KDEG                         0.189966685                    0.33312674
#> CL                           0.118723582                    0.28740278
#> KSS                          0.200893303                    0.28276080
#> KINT                         0.199856066                    0.28163720
#> F1                           0.042143566                   -0.09998494
#> Q                            0.090259058                    0.10985276
#> KA                           0.002300494                    0.09431983
#>          Age (y) BMI (kg/m²) Baseline LDLC (mg/dL) Weight (kg)
#> V1    0.29097747  0.56047850           -0.26329486  0.54794509
#> KDEG -0.29235449  0.16199940           -0.15766795  0.18928435
#> CL   -0.12800238  0.20892731           -0.22960012  0.29250551
#> KSS  -0.28784651  0.09696154           -0.21272718  0.13281048
#> KINT -0.28985624  0.09612292           -0.21321989  0.13071062
#> F1   -0.23307088 -0.25678758            0.08913669 -0.23522724
#> Q    -0.10509931  0.02776836           -0.10360283  0.02394191
#> KA   -0.02773152  0.14207446           -0.13979989  0.16735753
#>      Baseline free PCSK9 (nM) Baseline total PCSK9 (nM)
#> V1                 0.17070134               0.241692174
#> KDEG              -0.03888840              -0.262824019
#> CL                 0.06164009              -0.062322930
#> KSS                0.09673649              -0.008418271
#> KINT               0.09582181              -0.008958591
#> F1                -0.02274809              -0.066990703
#> Q                  0.11746344               0.051095479
#> KA                 0.07606795              -0.025730720