From 7c62da1269e8910a210ba1917d4dc62d186d5606 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 6 Oct 2016 09:40:35 +0200 Subject: Static documentation rebuilt by pkgdown::build_site() --- docs/articles/compiled_models.html | 28 ++++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) (limited to 'docs/articles/compiled_models.html') diff --git a/docs/articles/compiled_models.html b/docs/articles/compiled_models.html index 1eeb78c6..d2e1d87d 100644 --- a/docs/articles/compiled_models.html +++ b/docs/articles/compiled_models.html @@ -73,21 +73,21 @@ mb.1 <- micr print(mb.1) 
## Unit: milliseconds
 ##                   expr       min        lq      mean    median        uq
-##  deSolve, not compiled 6407.0333 6420.1971 6434.6510 6433.3609 6448.4598
-##       Eigenvalue based  887.4338  891.8401  906.9270  896.2463  916.6735
-##      deSolve, compiled  720.2433  727.8793  733.2019  735.5152  739.6812
+##  deSolve, not compiled 6365.2773 6407.1609 6467.4083 6449.0446 6518.4738
+##       Eigenvalue based  872.0339  912.6754  926.7178  953.3169  954.0597
+##      deSolve, compiled  730.1252  740.7149  751.8881  751.3045  762.7695
 ##        max neval cld
-##  6463.5587     3   c
-##   937.1007     3  b 
-##   743.8472     3 a
+## 6587.9031 3 b +## 954.8026 3 a +## 774.2345 3 a 
autoplot(mb.1)

-

We see that using the compiled model is by a factor of 8.7 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 8.6 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:

rownames(smb.1) <- smb.1$expr
 smb.1["median"]/smb.1["deSolve, compiled", "median"]
##                         median
-## deSolve, not compiled 8.746741
-## Eigenvalue based      1.218529
+## deSolve, not compiled 8.583796
+## Eigenvalue based      1.268882
 ## deSolve, compiled     1.000000
@@ -108,12 +108,12 @@ smb.1["median"]/smb
smb.2 <- summary(mb.2)
 print(mb.2)
## Unit: seconds
-##                   expr       min       lq      mean    median        uq
-##  deSolve, not compiled 13.501761 13.52142 13.697021 13.541086 13.794651
-##      deSolve, compiled  1.359921  1.35996  1.366796  1.359999  1.370233
+##                   expr       min        lq     mean    median        uq
+##  deSolve, not compiled 13.464194 13.498471 13.52712 13.532748 13.558577
+##      deSolve, compiled  1.328628  1.342168  1.35224  1.355707  1.364046
 ##        max neval cld
-##  14.048217     3   b
-##   1.380468     3  a
+## 13.584407 3 b +## 1.372385 3 a 
smb.2["median"]/smb.2["deSolve, compiled", "median"]
##   median
 ## 1     NA
-- 
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