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diff --git a/docs/reference/inverse.predict.html b/docs/reference/inverse.predict.html index 672e322..b107154 100644 --- a/docs/reference/inverse.predict.html +++ b/docs/reference/inverse.predict.html @@ -70,17 +70,26 @@ </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">chemCal</a> - <span class="label label-default" data-toggle="tooltip" data-placement="bottom" title="Released package">0.1.37.9001</span> + <span class="label label-default" data-toggle="tooltip" data-placement="bottom" title="Released package">0.2.1</span> </span> </div> <div id="navbar" class="navbar-collapse collapse"> <ul class="nav navbar-nav"> <li> - <a href="../reference/index.html">Functions and data</a> + <a href="../index.html"> + <span class="fa fa-home fa-lg"></span> + + </a> </li> <li> - <a href="../articles/chemCal.pdf">Short manual (pdf)</a> + <a href="../articles/chemCal.html">Get started</a> +</li> +<li> + <a href="../reference/index.html">Reference</a> +</li> +<li> + <a href="../news/index.html">Changelog</a> </li> </ul> @@ -164,7 +173,11 @@ <h2 class="hasAnchor" id="note"><a class="anchor" href="#note"></a>Note</h2> - <p>The function was validated with examples 7 and 8 from Massart et al. (1997).</p> + <p>The function was validated with examples 7 and 8 from Massart et al. (1997). + Note that the behaviour of inverse.predict changed with chemCal version + 0.2.1. Confidence intervals for x values obtained from calibrations with + replicate measurements did not take the variation about the means into account. + Please refer to the vignette for details.</p> <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2> @@ -175,7 +188,6 @@ <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> <pre class="examples"><div class='input'><span class='co'># This is example 7 from Chapter 8 in Massart et al. (1997)</span> -<span class='fu'>data</span>(<span class='no'>massart97ex1</span>) <span class='no'>m</span> <span class='kw'><-</span> <span class='fu'>lm</span>(<span class='no'>y</span> ~ <span class='no'>x</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='no'>massart97ex1</span>) <span class='fu'>inverse.predict</span>(<span class='no'>m</span>, <span class='fl'>15</span>) <span class='co'># 6.1 +- 4.9</span></div><div class='output co'>#> $Prediction #> [1] 6.09381 @@ -210,7 +222,44 @@ #> #> $`Confidence Limits` #> [1] 40.77134 47.10832 -#> </div></pre> +#> </div><div class='input'> +<span class='co'># For reproducing the results for replicate standard measurements in example 8,</span> +<span class='co'># we need to do the calibration on the means when using chemCal > 0.2</span> +<span class='no'>weights</span> <span class='kw'><-</span> <span class='fu'>with</span>(<span class='no'>massart97ex3</span>, { + <span class='no'>yx</span> <span class='kw'><-</span> <span class='fu'>split</span>(<span class='no'>y</span>, <span class='no'>x</span>) + <span class='no'>ybar</span> <span class='kw'><-</span> <span class='fu'>sapply</span>(<span class='no'>yx</span>, <span class='no'>mean</span>) + <span class='no'>s</span> <span class='kw'><-</span> <span class='fu'>round</span>(<span class='fu'>sapply</span>(<span class='no'>yx</span>, <span class='no'>sd</span>), <span class='kw'>digits</span> <span class='kw'>=</span> <span class='fl'>2</span>) + <span class='no'>w</span> <span class='kw'><-</span> <span class='fu'>round</span>(<span class='fl'>1</span> / (<span class='no'>s</span>^<span class='fl'>2</span>), <span class='kw'>digits</span> <span class='kw'>=</span> <span class='fl'>3</span>) +}) + +<span class='no'>massart97ex3.means</span> <span class='kw'><-</span> <span class='fu'>aggregate</span>(<span class='no'>y</span> ~ <span class='no'>x</span>, <span class='no'>massart97ex3</span>, <span class='no'>mean</span>) + +<span class='no'>m3.means</span> <span class='kw'><-</span> <span class='fu'>lm</span>(<span class='no'>y</span> ~ <span class='no'>x</span>, <span class='kw'>w</span> <span class='kw'>=</span> <span class='no'>weights</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='no'>massart97ex3.means</span>) + +<span class='fu'>inverse.predict</span>(<span class='no'>m3.means</span>, <span class='fl'>15</span>, <span class='kw'>ws</span> <span class='kw'>=</span> <span class='fl'>1.67</span>) <span class='co'># 5.9 +- 2.5</span></div><div class='output co'>#> $Prediction +#> [1] 5.865367 +#> +#> $`Standard Error` +#> [1] 0.8926109 +#> +#> $Confidence +#> [1] 2.478285 +#> +#> $`Confidence Limits` +#> [1] 3.387082 8.343652 +#> </div><div class='input'><span class='fu'>inverse.predict</span>(<span class='no'>m3.means</span>, <span class='fl'>90</span>, <span class='kw'>ws</span> <span class='kw'>=</span> <span class='fl'>0.145</span>) <span class='co'># 44.1 +- 7.9</span></div><div class='output co'>#> $Prediction +#> [1] 44.06025 +#> +#> $`Standard Error` +#> [1] 2.829162 +#> +#> $Confidence +#> [1] 7.855012 +#> +#> $`Confidence Limits` +#> [1] 36.20523 51.91526 +#> </div><div class='input'> +</div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="sidebar"> <h2>Contents</h2> |