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authorJohannes Ranke <jranke@uni-bremen.de>2019-06-05 17:03:19 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2019-06-05 17:03:19 +0200
commit5243ac0ebe3223e5803b4ebee1cb619008638785 (patch)
tree6be4e8e47f8735f4bbce23d8abf328a700e028d8 /docs/reference/synthetic_data_for_UBA.html
parentb061a00ba4f9410a4b77e58a96fb7baa1247252b (diff)
parent4b323789265213bd65165873e7efe5e45a579275 (diff)
Merge branch 'algorithm'
Diffstat (limited to 'docs/reference/synthetic_data_for_UBA.html')
-rw-r--r--docs/reference/synthetic_data_for_UBA.html11
1 files changed, 6 insertions, 5 deletions
diff --git a/docs/reference/synthetic_data_for_UBA.html b/docs/reference/synthetic_data_for_UBA.html
index 2c2623e4..4a7ca728 100644
--- a/docs/reference/synthetic_data_for_UBA.html
+++ b/docs/reference/synthetic_data_for_UBA.html
@@ -40,7 +40,7 @@ Variance component 'a' is based on a normal distribution with standard deviation
Variance component 'c' is based on the error model from Rocke and Lorenzato (1995), with the
minimum standard deviation (for small y values) of 0.5, and a proportionality constant of 0.07
for the increase of the standard deviation with y. Note that this is a simplified version
- of the error model proposed by Rocke and Lorenzato (1995), as in their model the error of the
+ of the error model proposed by Rocke and Lorenzato (1995), as in their model the error of the
measured values approximates lognormal distribution for high values, whereas we are using
normally distributed error components all along.
Initial concentrations for metabolites and all values where adding the variance component resulted
@@ -78,7 +78,7 @@ Compare also the code in the example section to see the degradation models." />
</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">mkin</a>
- <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.4</span>
+ <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.5</span>
</span>
</div>
@@ -151,7 +151,7 @@ Compare also the code in the example section to see the degradation models." />
Variance component 'c' is based on the error model from Rocke and Lorenzato (1995), with the
minimum standard deviation (for small y values) of 0.5, and a proportionality constant of 0.07
for the increase of the standard deviation with y. Note that this is a simplified version
- of the error model proposed by Rocke and Lorenzato (1995), as in their model the error of the
+ of the error model proposed by Rocke and Lorenzato (1995), as in their model the error of the
measured values approximates lognormal distribution for high values, whereas we are using
normally distributed error components all along.</p>
<p>Initial concentrations for metabolites and all values where adding the variance component resulted
@@ -253,7 +253,8 @@ add_err = function(d, sdfunc, LOD = 0.1, reps = 2, seed = 123456789)
return(d_NA)
}
-# The following is the two-component model of Rocke and Lorenzato (1995)
+# The following is the simplified version of the two-component model of Rocke
+# and Lorenzato (1995)
sdfunc_twocomp = function(value, sd_low, rsd_high) {
sqrt(sd_low^2 + value^2 * rsd_high^2)
}
@@ -304,7 +305,7 @@ summary(fit)
</div>
<div class="pkgdown">
- <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.3.0.9000.</p>
+ <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.3.0.</p>
</div>
</footer>
</div>

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