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author | Johannes Ranke <jranke@uni-bremen.de> | 2016-11-17 22:58:28 +0100 |
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committer | Johannes Ranke <jranke@uni-bremen.de> | 2016-11-17 22:58:28 +0100 |
commit | 98d684becd9495d370e1bcc8f9c7ca758caa4dd8 (patch) | |
tree | 94c5e18f755d1c3328fad3fe517fe28b45c2df2f /docs/articles/mkin.R | |
parent | 3f6ce570824616f5be0d6289ed65910d455dd266 (diff) |
Static documentation rebuilt by pkgdown::build_site()
Diffstat (limited to 'docs/articles/mkin.R')
-rw-r--r-- | docs/articles/mkin.R | 24 |
1 files changed, 18 insertions, 6 deletions
diff --git a/docs/articles/mkin.R b/docs/articles/mkin.R index 175bd33b..67dc3623 100644 --- a/docs/articles/mkin.R +++ b/docs/articles/mkin.R @@ -1,22 +1,34 @@ +## ---- include = FALSE---------------------------------------------------- +require(knitr) +opts_chunk$set(engine='R', tidy=FALSE) + ## ---- echo = TRUE, cache = TRUE, fig = TRUE, fig.width = 8, fig.height = 7---- -require(mkin) +library(mkin) +# 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) -sampling_times = c(0, 1, 3, 7, 14, 28, 60, 90, 120) +# 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) -d_SFO_SFO_SFO_err <- add_err(d_SFO_SFO_SFO, function(x) 3, n = 1, seed = 123456789 ) +# 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, + n = 1, seed = 123456789 ) +# Fit the model to the dataset f_SFO_SFO_SFO <- mkinfit(m_SFO_SFO_SFO, d_SFO_SFO_SFO_err[[1]], quiet = TRUE) +# Plot the results separately for parent and metabolites plot_sep(f_SFO_SFO_SFO, lpos = c("topright", "bottomright", "bottomright")) |