Template titles

Template titles can be used to create highly informative diagnostics plots. They can be applied to any plot title, subtitle, caption and the filename when saving with the xpose_save function.

Template titles are defined via a single string containing key variables staring with a @ (e.g. @ofv) which will be replaced by their actual value when rendering the plot. For example '@run, @nobs observations in @nind subjects' would become 'run001, 1022 observations in 74 subjects'

Many key variables are available:

@condn: Condition number
@covtime: Covariance matrix runtime
@data: Model input data used
@descr: Model description
@dir: Model directory
@epsshk: Epsilon shrinkage
@errors: Run errors (e.g termination error)
@esampleseed: ESAMPLE seed number (used in NPDE)
@etashk: Eta shrinkage
@file: Model file name
@label: Model label
@method: Estimation method or sim
@nesample: Number of ESAMPLE (used in NPDE)
@nind: Number of individuals
@nobs: Number of observations
@nsig: Number of significant digits
@nsim: Number of simulations
@ofv: Objective function value
@page and @lastpage: Are respectively the page number and the number of the last page when faceting on multiple pages
@probn: Problem number
@plotfun: Name of the plot function
@ref: Reference model
@run: Model run name
@runtime: Estimation/Sim runtime
@software: Software used (e.g. NONMEM)
@simseed: Simulation seed
@subroutine: Differential equation solver
@timestart: Run start time
@timestop: Run stop time
@timeplot: Time of the plot rendering
@term: Termination message
@version: Software version (e.g. 7.3)
@vpcci: VPC confidence interval
@vpcdir: VPC data directory
@vpclloq: VPC lower limit of quantification
@vpcnsim: Number of simulations for VPC
@vpcpi: VPC prediction interval
@vpculoq: VPC upper limit of quantification
@warnings: Run warnings (e.g. boundary)
@x @y etc.: Name of any ggplot2 variable used for mapping in an aes() type function

Examples

# Defined when creating a plot
dv_vs_ipred(xpdb_ex_pk, 
            title = '@x vs. @y',
            subtitle = '@ofv, @nind subjects, @nobs obs.',
            caption = '@run, @descr')
#> Using data from $prob no.1
#> Filtering data by EVID == 0
#> `geom_smooth()` using formula = 'y ~ x'

            
# Any label can be modified later on
dv_vs_ipred(xpdb_ex_pk, aes(point_color = SEX, 
                            line_color = SEX)) + 
 labs(title = 'This runs is: @descr', 
      color = 'Color scale for @run',
      x     = 'IPRED for @nind subjects',
      subtitle = NULL)
#> Using data from $prob no.1
#> Filtering data by EVID == 0
#> `geom_smooth()` using formula = 'y ~ x'

See also

Examples