How to see that the applications are well installed ?

Here is for each application a simple procedure to be sure that everything is well installed

Datxplore

  1. Open Datxplore
  2. Go to the menu Project/Load demo as on the following figure
  3. A window with all the demos for Datxplore pops up. Then, choose the file theophylline.datxplore in the folder continuous and click on open.
  4. Datxplore should load the project and display the data set like on the following figure.
  5. Click on the Dataviewer frame and the following figure should appear should load the project and display the data set like on the following figure.
  6. Click on the toggle next to information to see all the informations concerning the data set

Mlxplore

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

Monolix

  1. Open Monolix
  2. Go to the menu Demos and choose theophylinne_project is section 1.1
  3. Monolix loads the project and the interface looks like the following figure 
  4. Clicking on the “Run” button launches the scenario as on the following figure
  5. Close the scenario using the close button and the graphics are displayed behind on the Individual fits plot

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 ?