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addContinuousTransformedCovariate

Create a new continuous covariate by transforming an existing one. Transformed covariates cannot be use to produce new covariates. Call getCovariateInformation to find out which covariates can be transformed. Those of type "continuous" can be used.

Usage

R
addContinuousTransformedCovariate(...)

Arguments

...

Comma-separated pairs {transformedCovariateName = (character)"formula"}

See also

getCovariateInformation get current covariates in the model
addCategoricalTransformedCovariate to add a transformation of a categorical covariate
addMixture to add a latent covariate
removeCovariate remove added covariates

Examples

R
initializeLixoftConnectors("monolix")
#> [INFO] The library lixoftConnectors ("C:\Program Files\Lixoft\MonolixSuite2024R1\lib\lixoftConnectors.dll") is already loaded and initialized for monolix software -> nothing to be done.
project_file <- file.path(getDemoPath(), "1.creating_and_using_models", "1.1.libraries_of_models", "theophylline_project.mlxtran")
loadProject(project_file)
#> [INFO] Results have been successfully loaded
addContinuousTransformedCovariate( logtWEIGHT = "log(WEIGHT/70)"  )
getCovariateInformation()
#> $name
#> [1] "WEIGHT"     "logtWEIGHT" "SEX"       
#> 
#> $type
#>                  WEIGHT              logtWEIGHT                     SEX 
#>            "continuous" "continuoustransformed"           "categorical" 
#> 
#> $formula
#>                    logtWEIGHT 
#> "logtWEIGHT = log(WEIGHT/70)" 
#> 
#> $range
#> $range$WEIGHT
#> [1] 54.6 86.4
#> 
#> $range$logtWEIGHT
#> [1] -0.2484614  0.2104924
#> 
#> 
#> $categories
#> $categories$SEX
#> [1] "F" "M"
#> 
#> 
#> $covariate
#>    id WEIGHT   logtWEIGHT SEX
#> 1   1   79.6  0.128518900   M
#> 2   2   72.4  0.033711060   M
#> 3   3   70.5  0.007117468   M
#> 4   4   72.7  0.037846140   M
#> 5   5   54.6 -0.248461400   F
#> 6   6   80.0  0.133531400   M
#> 7   7   64.6 -0.080280830   F
#> 8   8   70.5  0.007117468   M
#> 9   9   86.4  0.210492400   M
#> 10 10   58.2 -0.184609900   F
#> 11 11   65.0 -0.074107970   F
#> 12 12   60.5 -0.145851900   F
#> 
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