Documentation fixes and updates

14 files changed, 30 insertions, 21 deletions

diff --git a/ChangeLog b/ChangeLog
index 42c1692..017af3a 100644
--- a/ChangeLog
+++ b/ChangeLog
@@ -1,3 +1,11 @@
+commit b9ce44748f2795ae1f35fe5a510e88635f247a7f
+Author: Johannes Ranke <jranke@uni-bremen.de>
+Date:   2018-01-29 09:22:42 +0100
+
+    Correction of return value documentation for PEC_sw_exposit_runoff
+    
+    Rebuild pkgdown documentation
+
 commit 87d63e649da5e12409c50cb06d3d2a01e9880759
 Author: Johannes Ranke <jranke@uni-bremen.de>
 Date:   2017-12-15 17:25:21 +0100
diff --git a/DESCRIPTION b/DESCRIPTION
index 9ff66a6..35c29dc 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -26,4 +26,4 @@ License: GPL
 LazyLoad: yes
 LazyData: yes
 Encoding: UTF-8
-RoxygenNote: 6.0.1.9000
+RoxygenNote: 6.0.1
diff --git a/NAMESPACE b/NAMESPACE
index 141a68c..ddf73dd 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -16,7 +16,6 @@ export(FOCUS_PELMO_crop_sze_names)
 export(FOCUS_PELMO_crops)
 export(FOCUS_PELMO_location_codes)
 export(GUS)
-export(Koc_breaks)
 export(PEC_soil)
 export(PEC_sw_drainage_UK)
 export(PEC_sw_drift)
@@ -28,7 +27,6 @@ export(PELMO_runs)
 export(SFO_actual_twa)
 export(SSLRC_mobility_classification)
 export(TOXSWA_cwa)
-export(buffers)
 export(chent_focus_sw)
 export(endpoint)
 export(evaluate_PELMO)
@@ -36,6 +34,8 @@ export(focus_80th)
 export(geomean)
 export(max_twa)
 export(one_box)
+export(perc_runoff_exposit)
+export(perc_runoff_reduction_exposit)
 export(pfm_degradation)
 export(read.TOXSWA_cwa)
 export(run_PELMO)
@@ -48,6 +48,7 @@ export(twa)
 import(graphics)
 import(mkin)
 importFrom(R6,R6Class)
+importFrom(grDevices,dev.cur)
 importFrom(methods,is)
 importFrom(mkin,mkinpredict)
 importFrom(parallel,mclapply)
diff --git a/R/PEC_sw_exposit_runoff.R b/R/PEC_sw_exposit_runoff.R
index 064b710..87fd88b 100644
--- a/R/PEC_sw_exposit_runoff.R
+++ b/R/PEC_sw_exposit_runoff.R
@@ -13,7 +13,7 @@
 #'   }
 #' @source Excel 3.01 spreadsheet available from
 #'   \url{https://www.bvl.bund.de/DE/04_Pflanzenschutzmittel/03_Antragsteller/04_Zulassungsverfahren/07_Naturhaushalt/psm_naturhaush_node.html#doc1400590bodyText3}
-#' @export
+#' @export perc_runoff_exposit
 #' @examples
 #' print(perc_runoff_exposit)
 Koc_breaks <- c(0, 20, 50, 100, 200, 500, 1000, 2000, 5000, 10000, 20000, 50000, Inf)
@@ -43,12 +43,11 @@ rownames(perc_runoff_exposit) <- Koc_classes
 #' @export
 #' @examples
 #' print(perc_runoff_reduction_exposit)
-buffers <- c("No buffer", paste(c(5, 10, 20), "m"))
 perc_runoff_reduction_exposit <- list(
    "3.01" = data.frame(
     dissolved = c(0, 40, 60, 80),
     bound = c(0, 40, 85, 95),
-    row.names = buffers),
+    row.names = c("No buffer", paste(c(5, 10, 20), "m"))),
   "2.0" = data.frame(
     dissolved = c(0, 97.5),
     bound = c(0, 97.5),
diff --git a/R/TOXSWA_cwa.R b/R/TOXSWA_cwa.R
index eacd58f..4caafb6 100644
--- a/R/TOXSWA_cwa.R
+++ b/R/TOXSWA_cwa.R
@@ -1,4 +1,4 @@
-# Copyright (C) 2014,2015,2016,2017  Johannes Ranke
+# Copyright (C) 2014,2015,2016,2017,2018  Johannes Ranke
 # Contact: jranke@uni-bremen.de
 # This file is part of the R package pfm
 
@@ -14,6 +14,7 @@
 
 # You should have received a copy of the GNU General Public License along with
 # this program. If not, see <http://www.gnu.org/licenses/>
+if(getRversion() >= '2.15.1') utils::globalVariables(c("cwa"))
 
 #' Read TOXSWA surface water concentrations
 #'
@@ -40,6 +41,7 @@
 #' @param thresholds Numeric vector of threshold concentrations in µg/L for
 #'   generating event statistics.
 #' @importFrom readr read_fwf fwf_empty
+#' @importFrom grDevices dev.cur
 #' @return An instance of an R6 object of class
 #' \code{\link{TOXSWA_cwa}}.
 #' @export
diff --git a/build.log b/build.log
index d99144c..95a265b 100644
--- a/build.log
+++ b/build.log
@@ -1,10 +1,6 @@
 * checking for file ‘./DESCRIPTION’ ... OK
 * preparing ‘pfm’:
 * checking DESCRIPTION meta-information ... OK
-Warnung: /tmp/RtmpcrkMKU/Rbuild6cab5b5f6c51/pfm/man/TOXSWA_cwa.Rd:29: unknown macro '\u00B5g'
-Warnung: /tmp/RtmpcrkMKU/Rbuild6cab5b5f6c51/pfm/man/TOXSWA_cwa.Rd:29: unknown macro '\u00B5g'
-Warnung: /tmp/RtmpcrkMKU/Rbuild6cab5b5f6c51/pfm/man/TOXSWA_cwa.Rd:38: unknown macro '\u00B5g'
-Warnung: /tmp/RtmpcrkMKU/Rbuild6cab5b5f6c51/pfm/man/read.TOXSWA_cwa.Rd:33: unknown macro '\u00B5g'
 * checking for LF line-endings in source and make files and shell scripts
 * checking for empty or unneeded directories
 * looking to see if a ‘data/datalist’ file should be added
diff --git a/docs/reference/PELMO_runs.html b/docs/reference/PELMO_runs.html
index f06c0fe..3d70c32 100644
--- a/docs/reference/PELMO_runs.html
+++ b/docs/reference/PELMO_runs.html
@@ -190,7 +190,7 @@ the period.plm file generated by the FOCUS PELMO GUI.</p>
 #&gt; 
 #&gt; </div><div class='input'><span class='co'># We get exactly the same PECgw values (on Linux, calling PELMO using Wine).</span>
 <span class='fu'>print</span>(<span class='no'>time_1</span>)</div><div class='output co'>#&gt;        User      System verstrichen 
-#&gt;     219.036       1.004      56.622 </div><div class='input'>
+#&gt;     218.536       1.056      55.555 </div><div class='input'>
 <span class='co'># Demonstrate some results with metabolites.</span>
 <span class='no'>runs_2</span> <span class='kw'>&lt;-</span> <span class='fu'>list</span>(<span class='fu'>list</span>(<span class='kw'>psm</span> <span class='kw'>=</span> <span class='st'>'Pesticide_D_1_May_every_other_year_mets'</span>,
                     <span class='kw'>win</span> <span class='kw'>=</span> <span class='fu'>c</span>(<span class='st'>"Cha"</span>, <span class='st'>"Ham"</span>, <span class='st'>"Kre"</span>)))
diff --git a/docs/reference/TOXSWA_cwa.html b/docs/reference/TOXSWA_cwa.html
index f67df04..f29951b 100644
--- a/docs/reference/TOXSWA_cwa.html
+++ b/docs/reference/TOXSWA_cwa.html
@@ -92,7 +92,7 @@ Usually, an instance of this class will be generated by <code><a href='read.TOXS
     <dt><code>cwas</code></dt><dd><p>Dataframe holding the concentrations.</p></dd>
     <dt><code>events</code></dt><dd><p>List of dataframes holding the event statistics for each threshold.</p></dd>
     <dt><code>windows</code></dt><dd><p>Matrix of maximum time weighted average concentrations (TWAC_max)
-and areas under the curve in /day * h (AUC_max_h) or /day * d (AUC_max_d)
+and areas under the curve in µg/day * h (AUC_max_h) or µg/day * d (AUC_max_d)
 for the requested moving window sizes in days.</p></dd>
 </dl>
     
@@ -101,7 +101,7 @@ for the requested moving window sizes in days.</p></dd>
     
     <dl class='dl-horizontal'>
   <dt><code>get_events(threshold, total = FALSE)</code></dt><dd><p>Populate a datataframe with event information for the specified threshold value
-        in /L. If <code>total = TRUE</code>, the total concentration including the amount
+        in µg/L. If <code>total = TRUE</code>, the total concentration including the amount
         adsorbed to suspended matter will be used. The resulting dataframe is stored in the
         <code>events</code> field of the object.</p></dd>
   <dt><code>moving_windows(windows, total = FALSE)</code></dt><dd><p>Add to the <code>windows</code> field described above.
diff --git a/docs/reference/perc_runoff_reduction_exposit.html b/docs/reference/perc_runoff_reduction_exposit.html
index 59dd40d..fba910b 100644
--- a/docs/reference/perc_runoff_reduction_exposit.html
+++ b/docs/reference/perc_runoff_reduction_exposit.html
@@ -75,7 +75,7 @@
     <p>A table of the runoff reduction percentages used in Exposit 3 for different vegetated buffer widths</p>
     
 
-    <pre class="usage"><span class='no'>buffers</span></pre>
+    <pre class="usage"><span class='no'>perc_runoff_reduction_exposit</span></pre>
         
     <h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
 
diff --git a/docs/reference/pesticide.txt b/docs/reference/pesticide.txt
index 786f7f0..e8743b0 100644
--- a/docs/reference/pesticide.txt
+++ b/docs/reference/pesticide.txt
@@ -13,3 +13,7 @@ Dummy 1 cereals, spring n NA	Dummy 1 cereals, winter s of	Dummy 1 citrus n mm	Du
 M1 cereals, winter n NA	M1 cereals, winter s of	M1 cereals, winter n mm	M1 cereals, winter s js	M1 cereals, winter n NA	M1 cereals, winter s of	M1 cereals, winter n mm	M1 cereals, winter s js		  250.00	  100.00	  100.00	   50.00	  100.00	  100.00	0.00E+00	   50.00	 1000.00	    1.00	0.00E+00	    1.00	  -99.00	  -99.00	  -99.00	  -99.00	0.00E+00	    1.00
 Dummy 1 cereals, spring n NA	Dummy 1 cereals, winter s of	Dummy 1 citrus n mm	Dummy 1 cotton s js	Dummy 1 field beans n NA	Dummy 1 grass / alfalfa s of	Dummy 1 hops n mm	Dummy 1 legumes s js	Dummy 1 maize n NA	Dummy 1 oil seed rape, spring s of	Dummy 1 oil seed rape, winter n mm	Dummy 1 olives s js	Dummy 1 pome / stone fruit, early applns n NA	Dummy 1 pome / stone fruit, late applns s of	Dummy 1 potatoes n mm	Dummy 1 soybeans s js	Dummy 1 sugar beets n NA	Dummy 1 sunflowers s of	Dummy 1 tobacco n mm	Dummy 1 vegetables, bulb s js	Dummy 1 vegetables, fruiting n NA	Dummy 1 vegetables, leafy s of	Dummy 1 vegetables, root n mm	Dummy 1 vines, early applns s js	Dummy 1 vines, late applns n NA	Dummy 1 appln, aerial s of	Dummy 1 appln, hand (crop < 50 cm) n mm	Dummy 1 appln, hand (crop > 50 cm) s js	Dummy 1 no drift (incorp or seed trtmt) n NA	Dummy 1 cereals, spring n NA	Dummy 1 cereals, winter s of	Dummy 1 citrus n mm	Dummy 1 cotton s js	Dummy 1 field beans n NA	Dummy 1 grass / alfalfa s of	Dummy 1 hops n mm	Dummy 1 legumes s js	Dummy 1 maize n NA	Dummy 1 oil seed rape, spring s of	Dummy 1 oil seed rape, winter n mm	Dummy 1 olives s js	Dummy 1 pome / stone fruit, early applns n NA	Dummy 1 pome / stone fruit, late applns s of	Dummy 1 potatoes n mm	Dummy 1 soybeans s js	Dummy 1 sugar beets n NA	Dummy 1 sunflowers s of	Dummy 1 tobacco n mm	Dummy 1 vegetables, bulb s js	Dummy 1 vegetables, fruiting n NA	Dummy 1 vegetables, leafy s of	Dummy 1 vegetables, root n mm	Dummy 1 vines, early applns s js	Dummy 1 vines, late applns n NA	Dummy 1 appln, aerial s of	Dummy 1 appln, hand (crop < 50 cm) n mm	Dummy 1 appln, hand (crop > 50 cm) s js	Dummy 1 no drift (incorp or seed trtmt) n NA		  -99.00	  -99.00	 6000.00	  344.80	0.00E+00	    6.00	0.00E+00	0.00E+00	 3000.00	    1.00	0.00E+00	0.00E+00	    1.00	    2.00	    3.00	    4.00	    5.00	    6.00	    7.00	    8.00	    9.00	   10.00	   11.00	   12.00	   13.00	   14.00	   15.00	   16.00	   17.00	   18.00	   19.00	   20.00	   21.00	   22.00	   23.00	   24.00	   25.00	   26.00	   27.00	   28.00	0.00E+00	  -99.00	  -99.00	  -99.00	0.00E+00	    1.00
 M1 cereals, winter n NA	M1 cereals, winter s of	M1 cereals, winter n mm	M1 cereals, winter s js	M1 cereals, winter n NA	M1 cereals, winter s of	M1 cereals, winter n mm	M1 cereals, winter s js		  250.00	  100.00	  100.00	   50.00	  100.00	  100.00	0.00E+00	   50.00	 1000.00	    1.00	0.00E+00	    1.00	  -99.00	  -99.00	  -99.00	  -99.00	0.00E+00	    1.00
+Dummy 1 cereals, spring n NA	Dummy 1 cereals, winter s of	Dummy 1 citrus n mm	Dummy 1 cotton s js	Dummy 1 field beans n NA	Dummy 1 grass / alfalfa s of	Dummy 1 hops n mm	Dummy 1 legumes s js	Dummy 1 maize n NA	Dummy 1 oil seed rape, spring s of	Dummy 1 oil seed rape, winter n mm	Dummy 1 olives s js	Dummy 1 pome / stone fruit, early applns n NA	Dummy 1 pome / stone fruit, late applns s of	Dummy 1 potatoes n mm	Dummy 1 soybeans s js	Dummy 1 sugar beets n NA	Dummy 1 sunflowers s of	Dummy 1 tobacco n mm	Dummy 1 vegetables, bulb s js	Dummy 1 vegetables, fruiting n NA	Dummy 1 vegetables, leafy s of	Dummy 1 vegetables, root n mm	Dummy 1 vines, early applns s js	Dummy 1 vines, late applns n NA	Dummy 1 appln, aerial s of	Dummy 1 appln, hand (crop < 50 cm) n mm	Dummy 1 appln, hand (crop > 50 cm) s js	Dummy 1 no drift (incorp or seed trtmt) n NA	Dummy 1 cereals, spring n NA	Dummy 1 cereals, winter s of	Dummy 1 citrus n mm	Dummy 1 cotton s js	Dummy 1 field beans n NA	Dummy 1 grass / alfalfa s of	Dummy 1 hops n mm	Dummy 1 legumes s js	Dummy 1 maize n NA	Dummy 1 oil seed rape, spring s of	Dummy 1 oil seed rape, winter n mm	Dummy 1 olives s js	Dummy 1 pome / stone fruit, early applns n NA	Dummy 1 pome / stone fruit, late applns s of	Dummy 1 potatoes n mm	Dummy 1 soybeans s js	Dummy 1 sugar beets n NA	Dummy 1 sunflowers s of	Dummy 1 tobacco n mm	Dummy 1 vegetables, bulb s js	Dummy 1 vegetables, fruiting n NA	Dummy 1 vegetables, leafy s of	Dummy 1 vegetables, root n mm	Dummy 1 vines, early applns s js	Dummy 1 vines, late applns n NA	Dummy 1 appln, aerial s of	Dummy 1 appln, hand (crop < 50 cm) n mm	Dummy 1 appln, hand (crop > 50 cm) s js	Dummy 1 no drift (incorp or seed trtmt) n NA		  -99.00	  -99.00	 6000.00	  344.80	0.00E+00	    6.00	0.00E+00	0.00E+00	 3000.00	    1.00	0.00E+00	0.00E+00	    1.00	    2.00	    3.00	    4.00	    5.00	    6.00	    7.00	    8.00	    9.00	   10.00	   11.00	   12.00	   13.00	   14.00	   15.00	   16.00	   17.00	   18.00	   19.00	   20.00	   21.00	   22.00	   23.00	   24.00	   25.00	   26.00	   27.00	   28.00	0.00E+00	  -99.00	  -99.00	  -99.00	0.00E+00	    1.00
+M1 cereals, winter n NA	M1 cereals, winter s of	M1 cereals, winter n mm	M1 cereals, winter s js	M1 cereals, winter n NA	M1 cereals, winter s of	M1 cereals, winter n mm	M1 cereals, winter s js		  250.00	  100.00	  100.00	   50.00	  100.00	  100.00	0.00E+00	   50.00	 1000.00	    1.00	0.00E+00	    1.00	  -99.00	  -99.00	  -99.00	  -99.00	0.00E+00	    1.00
+Dummy 1 cereals, spring n NA	Dummy 1 cereals, winter s of	Dummy 1 citrus n mm	Dummy 1 cotton s js	Dummy 1 field beans n NA	Dummy 1 grass / alfalfa s of	Dummy 1 hops n mm	Dummy 1 legumes s js	Dummy 1 maize n NA	Dummy 1 oil seed rape, spring s of	Dummy 1 oil seed rape, winter n mm	Dummy 1 olives s js	Dummy 1 pome / stone fruit, early applns n NA	Dummy 1 pome / stone fruit, late applns s of	Dummy 1 potatoes n mm	Dummy 1 soybeans s js	Dummy 1 sugar beets n NA	Dummy 1 sunflowers s of	Dummy 1 tobacco n mm	Dummy 1 vegetables, bulb s js	Dummy 1 vegetables, fruiting n NA	Dummy 1 vegetables, leafy s of	Dummy 1 vegetables, root n mm	Dummy 1 vines, early applns s js	Dummy 1 vines, late applns n NA	Dummy 1 appln, aerial s of	Dummy 1 appln, hand (crop < 50 cm) n mm	Dummy 1 appln, hand (crop > 50 cm) s js	Dummy 1 no drift (incorp or seed trtmt) n NA	Dummy 1 cereals, spring n NA	Dummy 1 cereals, winter s of	Dummy 1 citrus n mm	Dummy 1 cotton s js	Dummy 1 field beans n NA	Dummy 1 grass / alfalfa s of	Dummy 1 hops n mm	Dummy 1 legumes s js	Dummy 1 maize n NA	Dummy 1 oil seed rape, spring s of	Dummy 1 oil seed rape, winter n mm	Dummy 1 olives s js	Dummy 1 pome / stone fruit, early applns n NA	Dummy 1 pome / stone fruit, late applns s of	Dummy 1 potatoes n mm	Dummy 1 soybeans s js	Dummy 1 sugar beets n NA	Dummy 1 sunflowers s of	Dummy 1 tobacco n mm	Dummy 1 vegetables, bulb s js	Dummy 1 vegetables, fruiting n NA	Dummy 1 vegetables, leafy s of	Dummy 1 vegetables, root n mm	Dummy 1 vines, early applns s js	Dummy 1 vines, late applns n NA	Dummy 1 appln, aerial s of	Dummy 1 appln, hand (crop < 50 cm) n mm	Dummy 1 appln, hand (crop > 50 cm) s js	Dummy 1 no drift (incorp or seed trtmt) n NA		  -99.00	  -99.00	 6000.00	  344.80	0.00E+00	    6.00	0.00E+00	0.00E+00	 3000.00	    1.00	0.00E+00	0.00E+00	    1.00	    2.00	    3.00	    4.00	    5.00	    6.00	    7.00	    8.00	    9.00	   10.00	   11.00	   12.00	   13.00	   14.00	   15.00	   16.00	   17.00	   18.00	   19.00	   20.00	   21.00	   22.00	   23.00	   24.00	   25.00	   26.00	   27.00	   28.00	0.00E+00	  -99.00	  -99.00	  -99.00	0.00E+00	    1.00
+M1 cereals, winter n NA	M1 cereals, winter s of	M1 cereals, winter n mm	M1 cereals, winter s js	M1 cereals, winter n NA	M1 cereals, winter s of	M1 cereals, winter n mm	M1 cereals, winter s js		  250.00	  100.00	  100.00	   50.00	  100.00	  100.00	0.00E+00	   50.00	 1000.00	    1.00	0.00E+00	    1.00	  -99.00	  -99.00	  -99.00	  -99.00	0.00E+00	    1.00
diff --git a/docs/reference/read.TOXSWA_cwa.html b/docs/reference/read.TOXSWA_cwa.html
index 25e7dd7..25452c5 100644
--- a/docs/reference/read.TOXSWA_cwa.html
+++ b/docs/reference/read.TOXSWA_cwa.html
@@ -123,7 +123,7 @@ maximum time weighted average concentrations and areas under the curve.</p></td>
     </tr>
     <tr>
       <th>thresholds</th>
-      <td><p>Numeric vector of threshold concentrations in /L for
+      <td><p>Numeric vector of threshold concentrations in µg/L for
 generating event statistics.</p></td>
     </tr>
     </table>
diff --git a/man/TOXSWA_cwa.Rd b/man/TOXSWA_cwa.Rd
index e417094..3152c6e 100644
--- a/man/TOXSWA_cwa.Rd
+++ b/man/TOXSWA_cwa.Rd
@@ -26,7 +26,7 @@ Usually, an instance of this class will be generated by \code{\link{read.TOXSWA_
 \item{\code{events}}{List of dataframes holding the event statistics for each threshold.}
 
 \item{\code{windows}}{Matrix of maximum time weighted average concentrations (TWAC_max)
-and areas under the curve in \u00B5g/day * h (AUC_max_h) or \u00B5g/day * d (AUC_max_d)
+and areas under the curve in µg/day * h (AUC_max_h) or µg/day * d (AUC_max_d)
 for the requested moving window sizes in days.}
 }}
 
@@ -35,7 +35,7 @@ for the requested moving window sizes in days.}
 \describe{
   \item{\code{get_events(threshold, total = FALSE)}}{
         Populate a datataframe with event information for the specified threshold value
-        in \u00B5g/L. If \code{total = TRUE}, the total concentration including the amount
+        in µg/L. If \code{total = TRUE}, the total concentration including the amount
         adsorbed to suspended matter will be used. The resulting dataframe is stored in the
         \code{events} field of the object.
         }
diff --git a/man/perc_runoff_reduction_exposit.Rd b/man/perc_runoff_reduction_exposit.Rd
index 51b067d..bc93b29 100644
--- a/man/perc_runoff_reduction_exposit.Rd
+++ b/man/perc_runoff_reduction_exposit.Rd
@@ -3,7 +3,6 @@
 \docType{data}
 \name{perc_runoff_reduction_exposit}
 \alias{perc_runoff_reduction_exposit}
-\alias{buffers}
 \title{Runoff reduction percentages as used in Exposit}
 \format{A named list of data frames with reduction percentage values for the
 dissolved fraction and the fraction bound to eroding particles, with
@@ -18,7 +17,7 @@ Excel 3.01 spreadsheet available from
   \url{https://www.bvl.bund.de/DE/04_Pflanzenschutzmittel/03_Antragsteller/04_Zulassungsverfahren/07_Naturhaushalt/psm_naturhaush_node.html#doc1400590bodyText3}
 }
 \usage{
-buffers
+perc_runoff_reduction_exposit
 }
 \description{
 A table of the runoff reduction percentages used in Exposit 3 for different vegetated buffer widths
diff --git a/man/read.TOXSWA_cwa.Rd b/man/read.TOXSWA_cwa.Rd
index 28479f2..2541c9b 100644
--- a/man/read.TOXSWA_cwa.Rd
+++ b/man/read.TOXSWA_cwa.Rd
@@ -30,7 +30,7 @@ files. For .cwa files, the total concentration is always read as well.}
 \item{windows}{Numeric vector of width of moving windows in days, for calculating
 maximum time weighted average concentrations and areas under the curve.}
 
-\item{thresholds}{Numeric vector of threshold concentrations in \u00B5g/L for
+\item{thresholds}{Numeric vector of threshold concentrations in µg/L for
 generating event statistics.}
 }
 \value{