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Diffstat (limited to 'vignettes/gmkin_manual.html')
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1 files changed, 1 insertions, 1 deletions
diff --git a/vignettes/gmkin_manual.html b/vignettes/gmkin_manual.html index bff6a74..8ae6ef8 100644 --- a/vignettes/gmkin_manual.html +++ b/vignettes/gmkin_manual.html @@ -244,7 +244,7 @@ Model cost at call 37 : 371.2134 </code></pre> <h3>Confidence interval plots</h3> <p>Whenever a new fit has been configured or a run of a fit has been completed, the plotting area is updated with the abovementioned plot of the data and the current model solution.</p> <p>In addition, a confidence interval plot is shown below this conventional plot. In case a fit has been run and confidence intervals were successfully calculated for the fit (i.e. if the model was not overparameterised and no other problems occurred), the confidence intervals are graphically displayed as bars as shown below.</p> -<p><img src="data:image/png;base64,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" alt="conficence" /></p> +<p><img 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" alt="confidence" /></p> <!-- vim: set foldmethod=syntax ts=2 sw=2 expandtab: --> </div> </div> |