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diff --git a/docs/index.html b/docs/index.html index 4aa129c..413463f 100644 --- a/docs/index.html +++ b/docs/index.html @@ -69,82 +69,12 @@ this program. If not, see <http:<span class="er">//</span>www.gnu.org/license <div id="use" class="section level2"> <h2 class="hasAnchor"> <a href="#use" class="anchor"> </a>Use</h2> -<div id="analyse-toxswa-output" class="section level3"> -<h3 class="hasAnchor"> -<a href="#analyse-toxswa-output" class="anchor"> </a>Analyse TOXSWA output</h3> -<p>Read in and analyse a cwa file:</p> -<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(pfm, <span class="dt">quietly =</span> <span class="ot">TRUE</span>)</code></pre></div> -<pre><code>## -## Initialize Python Version 2.7.9 (default, Jun 29 2016, 13:11:10) -## [GCC 4.9.2]</code></pre> -<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">example_cwa <-<span class="st"> </span><span class="kw"><a href="reference/read.TOXSWA_cwa.html">read.TOXSWA_cwa</a></span>(<span class="st">"00003s_pa.cwa"</span>) -<span class="kw">plot</span>(example_cwa)</code></pre></div> -<p><img src="README_files/figure-html/unnamed-chunk-3-1.png" width="672"></p> -<p>Get events above thresholds of 20 and 100 µg/L, and do a moving window analysis for windows of 7 days and 21 days, print the results:</p> -<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">example_cwa$<span class="kw">get_events</span>(<span class="kw">c</span>(<span class="dv">20</span>, <span class="dv">100</span>)) -example_cwa$<span class="kw">moving_windows</span>(<span class="kw">c</span>(<span class="dv">7</span>, <span class="dv">21</span>)) -<span class="kw">print</span>(example_cwa)</code></pre></div> -<pre><code>## <TOXSWA_cwa> data from file 00003s_pa.cwa segment 20 -## datetime t t_firstjan t_rel_to_max cwa_mug_per_L -## 20 1978-10-01 00:00:00 0.000 273.0000 -55.333 0 -## 40 1978-10-01 01:00:00 0.042 273.0417 -55.291 0 -## 60 1978-10-01 02:00:00 0.083 273.0833 -55.250 0 -## 80 1978-10-01 03:00:00 0.125 273.1250 -55.208 0 -## 100 1978-10-01 04:00:00 0.167 273.1667 -55.166 0 -## 120 1978-10-01 05:00:00 0.208 273.2083 -55.125 0 -## cwa_tot_mug_per_L -## 20 0 -## 40 0 -## 60 0 -## 80 0 -## 100 0 -## 120 0 -## Moving window analysis -## window max_TWAC max_AUC_h max_AUC_d -## 1 7 days 2.3926551 401.9660 16.74859 -## 2 21 days 0.8369248 421.8101 17.57542 -## Event statistics for threshold 20 -## t_start cwa_max duration pre_interval AUC_h AUC_d -## 1 55.083 40.58401 0.417 55.083 365.7912 15.2413 -## Event statistics for threshold 100 -## No events found</code></pre> -<p>This can also be done with out files, the function reads out files from current TOXSWA versions as well as cwa files from old TOXSWA versions.</p> -</div> -<div id="calculate-pec-soil" class="section level3"> -<h3 class="hasAnchor"> -<a href="#calculate-pec-soil" class="anchor"> </a>Calculate PEC soil</h3> -<p>Simple PEC soil calculation for an application rate of 100 g/ha and 25% interception, assuming complete mixing into 5 cm and a soil bulk density of 1.5 kg/L, output in mg/kg:</p> -<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw"><a href="reference/PEC_soil.html">PEC_soil</a></span>(<span class="dv">100</span>, <span class="dt">interception =</span> <span class="fl">0.25</span>)</code></pre></div> -<pre><code>## scenario -## t_avg default -## 0 0.1</code></pre> -</div> -<div id="rautmann-drift-data" class="section level3"> -<h3 class="hasAnchor"> -<a href="#rautmann-drift-data" class="anchor"> </a>Rautmann drift data</h3> -<p>Some of the drift percentage data published by the JKI are included. To see the data for one application:</p> -<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">drift_data_JKI[<span class="dv">1</span>]</code></pre></div> -<pre><code>## [[1]] -## crop -## distance Ackerbau Obstbau frueh Obstbau spaet -## 1 2.77 NA NA -## 3 NA 29.20 15.73 -## 5 0.57 19.89 8.41 -## 10 0.29 11.81 3.60 -## 15 0.20 5.55 1.81 -## 20 0.15 2.77 1.09 -## 30 0.10 1.04 0.54 -## 40 0.07 0.52 0.32 -## 50 0.06 0.30 0.22</code></pre> -</div> -<div id="pec-surface-water-due-to-drift" class="section level3"> -<h3 class="hasAnchor"> -<a href="#pec-surface-water-due-to-drift" class="anchor"> </a>PEC surface water due to drift</h3> -<p>Initial PEC values for an application of 100 g/ha in the vicinity of a 30 cm deep water body are obtained using</p> -<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw"><a href="reference/PEC_sw_drift.html">PEC_sw_drift</a></span>(<span class="dv">100</span>, <span class="dt">applications =</span> <span class="dv">1</span>)</code></pre></div> -<pre><code>## 1 m 5 m 10 m 20 m -## 0.92333333 0.19000000 0.09666667 0.05000000</code></pre> +<p>Please refer to the <a href="docs/index.html">reference</a>.</p> </div> +<div id="examples" class="section level2"> +<h2 class="hasAnchor"> +<a href="#examples" class="anchor"> </a>Examples</h2> +<p>One recent nice example of the usage of this package is the visualisation of a time weighted average for a sawtooth curve obtained from several overlays of mkinfit predictions as shown <a href="docs/reference/plot.one_box.html">here</a>.</p> </div> </div> </div> |