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-rw-r--r--docs/reference/sigma_twocomp.html34
1 files changed, 17 insertions, 17 deletions
diff --git a/docs/reference/sigma_twocomp.html b/docs/reference/sigma_twocomp.html
index ef62212a..d95e1c28 100644
--- a/docs/reference/sigma_twocomp.html
+++ b/docs/reference/sigma_twocomp.html
@@ -36,13 +36,8 @@
<meta property="og:title" content="Two component error model — sigma_twocomp" />
-<meta property="og:description" content="Function describing the standard deviation of the measurement error
- in dependence of the measured value \(y\):
-$$\sigma = \sqrt{ \sigma_{low}^2 + y^2 * {rsd}_{high}^2}$$
- sigma = sqrt(sigma_low^2 + y^2 * rsd_high^2)
-This is the error model used for example by Werner et al. (1978). The model
- proposed by Rocke and Lorenzato (1995) can be written in this form as well,
- but assumes approximate lognormal distribution of errors for high values of y." />
+<meta property="og:description" content="Function describing the standard deviation of the measurement error in
+dependence of the measured value \(y\):" />
<meta name="twitter:card" content="summary" />
@@ -139,13 +134,8 @@ This is the error model used for example by Werner et al. (1978). The model
</div>
<div class="ref-description">
- <p>Function describing the standard deviation of the measurement error
- in dependence of the measured value \(y\):</p>
-<p>$$\sigma = \sqrt{ \sigma_{low}^2 + y^2 * {rsd}_{high}^2}$$
- sigma = sqrt(sigma_low^2 + y^2 * rsd_high^2)</p>
-<p>This is the error model used for example by Werner et al. (1978). The model
- proposed by Rocke and Lorenzato (1995) can be written in this form as well,
- but assumes approximate lognormal distribution of errors for high values of y.</p>
+ <p>Function describing the standard deviation of the measurement error in
+dependence of the measured value \(y\):</p>
</div>
<pre class="usage"><span class='fu'>sigma_twocomp</span>(<span class='no'>y</span>, <span class='no'>sigma_low</span>, <span class='no'>rsd_high</span>)</pre>
@@ -159,18 +149,27 @@ This is the error model used for example by Werner et al. (1978). The model
</tr>
<tr>
<th>sigma_low</th>
- <td><p>The asymptotic minimum of the standard deviation for low observed values</p></td>
+ <td><p>The asymptotic minimum of the standard deviation for low
+observed values</p></td>
</tr>
<tr>
<th>rsd_high</th>
- <td><p>The coefficient describing the increase of the standard deviation with
- the magnitude of the observed value</p></td>
+ <td><p>The coefficient describing the increase of the standard
+deviation with the magnitude of the observed value</p></td>
</tr>
</table>
<h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
<p>The standard deviation of the response variable.</p>
+ <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
+
+ <p>$$\sigma = \sqrt{ \sigma_{low}^2 + y^2 * {rsd}_{high}^2}$$ sigma =
+sqrt(sigma_low^2 + y^2 * rsd_high^2)</p>
+<p>This is the error model used for example by Werner et al. (1978). The model
+proposed by Rocke and Lorenzato (1995) can be written in this form as well,
+but assumes approximate lognormal distribution of errors for high values of
+y.</p>
<h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>
<p>Werner, Mario, Brooks, Samuel H., and Knott, Lancaster B. (1978)
@@ -185,6 +184,7 @@ This is the error model used for example by Werner et al. (1978). The model
<ul class="nav nav-pills nav-stacked">
<li><a href="#arguments">Arguments</a></li>
<li><a href="#value">Value</a></li>
+ <li><a href="#details">Details</a></li>
<li><a href="#references">References</a></li>
</ul>

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