How to see that the applications are well installed ?

Datxplore

  1. Open Datxplore
  2. Go to the menu Project/Load demo as on the following figure
    datxplore1
  3. A window with all the demos for Datxplore pops up. Then, choose the file theophylline.datxplore.mlxtran and click on open.
  4. Datxplore should load the project and display the data set like on the following figure. datxplore2

 

Mlxplore

  1. Open Mlxplore
  2. Go to the menu Project/Load demo as on the following figure
    mlxplore1
  3. A window with all the demos for Mlxplore pops up. Then, choose the file TumorGrowthModel.mlxplore.mlxtran in the folder CaseStudies\TumorGrowthInhibitionModel\ and click on open.
  4. Mlxplore should load the project and display the model like on the following figure.mlxplore2
  5. Run the project bu clicking on the arrow (in the green circle). The computation will run and the following figure should be displayed mlxplore3

 

Monolix

  1. Open Monolix
  2. Go to the menu Project/Load
  3. If it is your first launch of Monolix, there is no historic. Thus, you should go to YourUsername\lixoft\monolix\monolix2016R1\demos\theophylline\theophylline_project.mlxtran. Otherwise, click on « Browse demo » to open the theophylline_project.mlxtran demo in the theophylline folder. In both cases, a window of the project summary will pop up as the following figure and click on « Open » (in the green rectangle).
    Monolix1
  4. Monolix loads the project and the interface looks like the following figure MonolixTheoInstall
  5. The project is using data and a model defined in the green rectangle, and you can launch the workflow (in the presented case, the population parameter estimation, the Fisher Information Matrix calculation using linearization and the individual parameter estimation using the conditional modes) by clicking on the “Run” button (in the blue rectangle).
  6. Several progress bar showing the evolution of the tasks are displayed and at the end, some figures are displayed as in the following figure (in the presented case, the VPC is displayed). Monolix3

Simulx

Simulx is a little bit different from the other applications because it does not have yet a user interface. To validate it, one should use R (version greater than 3.0.2) to run simulations.

  1. Open R or Rstudio
  2. The R-packages needed to run Simulx are defined here. Make sure you have all the required packages.
  3. Execute the following commands
    # Define the mlxR library
    library("mlxR")
    # Define the model
    myModel <- inlineModel("[LONGITUDINAL]
    input = {V, Cl}
    EQUATION:
    Cc = pkmodel(V, Cl)")
    # Define the administration
    adm <- list(time=3, amount=40)
    # Define the output
    Cc <- list(name='Cc',time=seq(from=0, to=20, by=0.1))
    # Run the simulation
    res <- simulx(model=myModel, parameter=c(V=10, Cl=4), output=Cc,treatment=adm)
    # Plot the concentration w.r.t. time
    print(ggplot(data=res$Cc, aes(x=time, y=Cc)) + geom_line(size=1))
    
  4. The computation is launched and the following graphic appears Simulx2
Jonathan CHAUVINHow to see that the applications are well installed ?