From 5bd8716b2e4c880b798d1e5e231d49816bbdebd1 Mon Sep 17 00:00:00 2001
From: Johannes Ranke <jranke@uni-bremen.de>
Date: Sun, 21 Jun 2015 18:16:08 +0200
Subject: Rebuild vignettes with the released package installed

---
 vignettes/compiled_models.Rmd | 14 +++++++++-----
 1 file changed, 9 insertions(+), 5 deletions(-)

(limited to 'vignettes/compiled_models.Rmd')

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!
-- 
cgit v1.2.3

