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Diffstat (limited to 'docs/reference/synthetic_data_for_UBA.html')
| -rw-r--r-- | docs/reference/synthetic_data_for_UBA.html | 12 |
1 files changed, 9 insertions, 3 deletions
diff --git a/docs/reference/synthetic_data_for_UBA.html b/docs/reference/synthetic_data_for_UBA.html index 6e0ac227..9d9404e5 100644 --- a/docs/reference/synthetic_data_for_UBA.html +++ b/docs/reference/synthetic_data_for_UBA.html @@ -39,7 +39,10 @@ Variance component 'a' is based on a normal distribution with standard deviation Variance component 'b' is also based on a normal distribution, but with a standard deviation of 7. 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. + 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 + 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 in a value below the assumed limit of detection of 0.1 were set to NA. As an example, the first dataset has the title SFO_lin_a and is based on the SFO model @@ -73,7 +76,7 @@ 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="label label-default" data-toggle="tooltip" data-placement="bottom" title="Released package">0.9.47.1</span> + <span class="label label-default" data-toggle="tooltip" data-placement="bottom" title="Released package">0.9.47.2</span> </span> </div> @@ -142,7 +145,10 @@ Compare also the code in the example section to see the degradation models." /> Variance component 'b' is also based on a normal distribution, but with a standard deviation of 7. 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.</p> + 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 + 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 in a value below the assumed limit of detection of 0.1 were set to <code>NA</code>.</p> <p>As an example, the first dataset has the title <code>SFO_lin_a</code> and is based on the SFO model |