Rebuild vignettes with the released package installed

1 files changed, 9 insertions, 5 deletions

diff --git a/vignettes/compiled_models.Rmd b/vignettes/compiled_models.Rmd
index 5d83cf3a..3b24acbb 100644
--- a/vignettes/compiled_models.Rmd
+++ b/vignettes/compiled_models.Rmd
@@ -53,9 +53,11 @@ rownames(smb.1) <- c("deSolve, not compiled", "Eigenvalue based", "deSolve, comp
 print(smb.1)

 ```

 

-We see that using the compiled model is almost a factor of 8 faster than using the R version

-with the default ode solver, and it is even faster than the Eigenvalue based solution implemented

-in R which does not need iterative solution of the ODEs:

+We see that using the compiled model is by a factor of 

+`r round(smb.1["deSolve, not compiled", "median"]/smb.1["deSolve, compiled", "median"], 1)` 

+faster than using the R version with the default ode solver, and it is even

+faster than the Eigenvalue based solution implemented in R which does not need

+iterative solution of the ODEs:

 

 ```{r}

 smb.1["median"]/smb.1["deSolve, compiled", "median"]

@@ -81,5 +83,7 @@ smb.2["median"]/smb.2["deSolve, compiled", "median"]
 

 ```

 

-Here we get a performance benefit of more than a factor of 10 using the version

-of the differential equation model compiled from C code using the inline package!

+Here we get a performance benefit of a factor of 

+`r round(smb.2["deSolve, not compiled", "median"]/smb.2["deSolve, compiled", "median"], 1)` 

+using the version of the differential equation model compiled from C code using

+the inline package!