Summarize an xpose database
See also
Other data functions:
add_transformed_columns,
change_graphical_parameters,
change_misc_parameters,
compute.cwres(),
data.checkout(),
data_extract_or_assign,
db.names(),
export.graph.par(),
export.variable.definitions(),
import.graph.par(),
import.variable.definitions(),
make.sb.data(),
nsim(),
par_cov_summary,
read.TTE.sim.data(),
read.nm.tables(),
read_NM_output,
read_nm_table(),
simprazExample(),
tabulate.parameters(),
xlabel(),
xpose.data,
xpose4-package,
xsubset()
Examples
xpose.print(simpraz.xpdb)
#> The database contains the following observed items:
#> ID TIME IPRED IWRES CWRES CL V KA ETA1 ETA2 ETA3 AGE HT WT
#> SECR SEX RACE SMOK HCTZ PROP CON OCC DV PRED RES WRES
#>
#> The following variables are defined:
#>
#> ID variable: ID
#> Label variable: ID
#> Independent variable: TIME
#> Occasion variable: OCC
#> Dependent variable: DV
#> Population prediction variable: PRED
#> Individual prediction variable: IPRED
#> Weighted population residual variable: WRES
#> Weighted individual residual variable: IWRES
#> Population residual variable: RES
#> Parameters: ETA3 ETA2 ETA1 KA V CL
#> Covariates: SEX RACE SMOK HCTZ PROP CON OCC AGE HT WT SECR
#> ( Continuous: AGE HT WT SECR )
#> ( Categorical: SEX RACE SMOK HCTZ PROP CON OCC )
#> Variability parameters: ETA1 ETA2 ETA3
#> Missing value label: -99