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| author | Johannes Ranke <jranke@uni-bremen.de> | 2016-11-17 22:56:30 +0100 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2016-11-17 22:56:30 +0100 |
| commit | 3f6ce570824616f5be0d6289ed65910d455dd266 (patch) | |
| tree | 41409407f918bd17e3f5e636812ce551e040862e /vignettes/mkin.html | |
| parent | 7447f43f0ebd79ad4f89c670a819402c9339de3c (diff) | |
Rebuild
Diffstat (limited to 'vignettes/mkin.html')
| -rw-r--r-- | vignettes/mkin.html | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/vignettes/mkin.html b/vignettes/mkin.html index 172712f5..a8f7f2ba 100644 --- a/vignettes/mkin.html +++ b/vignettes/mkin.html @@ -246,23 +246,23 @@ div.tocify { # Define the kinetic model m_SFO_SFO_SFO <- mkinmod(parent = mkinsub("SFO", "M1"), M1 = mkinsub("SFO", "M2"), - M2 = mkinsub("SFO"), + M2 = mkinsub("SFO"), use_of_ff = "max", quiet = TRUE) # Produce model predictions using some arbitrary parameters sampling_times = c(0, 1, 3, 7, 14, 28, 60, 90, 120) d_SFO_SFO_SFO <- mkinpredict(m_SFO_SFO_SFO, - c(k_parent = 0.03, - f_parent_to_M1 = 0.5, k_M1 = log(2)/100, + c(k_parent = 0.03, + f_parent_to_M1 = 0.5, k_M1 = log(2)/100, f_M1_to_M2 = 0.9, k_M2 = log(2)/50), c(parent = 100, M1 = 0, M2 = 0), sampling_times) -# Generate a dataset by adding normally distributed errors with +# Generate a dataset by adding normally distributed errors with # standard deviation 3, for two replicates at each sampling time d_SFO_SFO_SFO_err <- add_err(d_SFO_SFO_SFO, reps = 2, - sdfunc = function(x) 3, + sdfunc = function(x) 3, n = 1, seed = 123456789 ) # Fit the model to the dataset |