From cc0d7a44cccac46ea1c71cf663aadee0efb2bba7 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Fri, 26 Jun 2015 16:08:04 +0200 Subject: Vignettes rebuilt by staticdocs::build_site() for static documentation on r-forge --- vignettes/compiled_models.html | 39 +++++++++++++++++---------------------- 1 file changed, 17 insertions(+), 22 deletions(-) (limited to 'vignettes/compiled_models.html') diff --git a/vignettes/compiled_models.html b/vignettes/compiled_models.html index 12454559..a62f3826 100644 --- a/vignettes/compiled_models.html +++ b/vignettes/compiled_models.html @@ -82,13 +82,8 @@ img {
##            gcc 
 ## "/usr/bin/gcc"

First, we build a simple degradation model for a parent compound with one metabolite.

-
library("mkin")
-
## Loading required package: minpack.lm
-## Loading required package: rootSolve
-## Loading required package: inline
-## Loading required package: methods
-## Loading required package: parallel
-
SFO_SFO <- mkinmod(
+
library("mkin")
+SFO_SFO <- mkinmod(
   parent = mkinsub("SFO", "m1"),
   m1 = mkinsub("SFO"))
## Successfully compiled differential equation model from auto-generated C code.
@@ -104,18 +99,18 @@ smb.1 <- summary(mb.1)[-1] rownames(smb.1) <- c("deSolve, not compiled", "Eigenvalue based", "deSolve, compiled") print(smb.1)
##                             min        lq      mean    median        uq
-## deSolve, not compiled 5292.0165 5313.7620 5364.5733 5335.5075 5400.8517
-## Eigenvalue based       893.9459  921.1984  936.1750  948.4509  957.2895
-## deSolve, compiled      742.7723  745.4243  750.1963  748.0763  753.9083
+## deSolve, not compiled 7047.6039 7083.3201 7123.5962 7119.0364 7161.5924
+## Eigenvalue based       901.5593  924.3357  968.8689  947.1121 1002.5238
+## deSolve, compiled      765.7604  770.7657  786.8638  775.7709  797.4156
 ##                             max neval
-## deSolve, not compiled 5466.1959     3
-## Eigenvalue based       966.1282     3
-## deSolve, compiled      759.7404     3
-

We see that using the compiled model is by a factor of 7.1 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:

+## deSolve, not compiled 7204.1483 3 +## Eigenvalue based 1057.9355 3 +## deSolve, compiled 819.0602 3 +

We see that using the compiled model is by a factor of 9.2 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:

smb.1["median"]/smb.1["deSolve, compiled", "median"]
##                         median
-## deSolve, not compiled 7.132304
-## Eigenvalue based      1.267853
+## deSolve, not compiled 9.176725
+## Eigenvalue based      1.220866
 ## deSolve, compiled     1.000000
@@ -133,16 +128,16 @@ smb.2 <- summary(mb.2)[-1] rownames(smb.2) <- c("deSolve, not compiled", "deSolve, compiled") print(smb.2)
##                             min        lq      mean    median        uq
-## deSolve, not compiled 11.277340 11.336373 11.392883 11.395407 11.450654
-## deSolve, compiled      1.339204  1.342662  1.350783  1.346121  1.356573
+## deSolve, not compiled 14.080456 14.209689 14.287313 14.338922 14.390742
+## deSolve, compiled      1.467266  1.521451  1.555168  1.575636  1.599119
 ##                             max neval
-## deSolve, not compiled 11.505901     3
-## deSolve, compiled      1.367025     3
+## deSolve, not compiled 14.442561 3 +## deSolve, compiled 1.622601 3
smb.2["median"]/smb.2["deSolve, compiled", "median"]
##                         median
-## deSolve, not compiled 8.465368
+## deSolve, not compiled 9.100402
 ## deSolve, compiled     1.000000
-

Here we get a performance benefit of a factor of 8.5 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 9.1 using the version of the differential equation model compiled from C code using the inline package!

This vignette was built with mkin 0.9.39 on

## R version 3.2.1 (2015-06-18)
 ## Platform: x86_64-pc-linux-gnu (64-bit)
-- 
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