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-rw-r--r--ChangeLog8
-rw-r--r--DESCRIPTION2
-rw-r--r--NAMESPACE5
-rw-r--r--R/PEC_sw_exposit_runoff.R9
-rw-r--r--R/TOXSWA_cwa.R4
-rw-r--r--build.log4
-rw-r--r--docs/reference/PELMO_runs.html2
-rw-r--r--docs/reference/TOXSWA_cwa.html4
-rw-r--r--docs/reference/perc_runoff_exposit.html1
-rw-r--r--docs/reference/perc_runoff_reduction_exposit.html2
-rw-r--r--docs/reference/pesticide.txt6
-rw-r--r--docs/reference/read.TOXSWA_cwa.html2
-rw-r--r--man/TOXSWA_cwa.Rd4
-rw-r--r--man/perc_runoff_exposit.Rd6
-rw-r--r--man/perc_runoff_reduction_exposit.Rd3
-rw-r--r--man/read.TOXSWA_cwa.Rd2
16 files changed, 34 insertions, 30 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..f56b8f8 100644
--- a/R/PEC_sw_exposit_runoff.R
+++ b/R/PEC_sw_exposit_runoff.R
@@ -13,12 +13,12 @@
#' }
#' @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)
+{Koc_breaks <- c(0, 20, 50, 100, 200, 500, 1000, 2000, 5000, 10000, 20000, 50000, Inf)
tmp <- paste(Koc_breaks[1:11], Koc_breaks[2:12], sep = "-")
-Koc_classes <- c(tmp[1], paste0(">", tmp[2:11]), ">50000")
+Koc_classes <- c(tmp[1], paste0(">", tmp[2:11]), ">50000")}
perc_runoff_exposit <- data.frame(
Koc_lower_bound = Koc_breaks[1:12],
dissolved = c(0.11, 0.151, 0.197, 0.248, 0.224, 0.184, 0.133, 0.084, 0.037, 0.031, 0.014, 0.001),
@@ -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..02341c6 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; 219.116 1.020 55.436 </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_exposit.html b/docs/reference/perc_runoff_exposit.html
index 1f570ce..6feed2c 100644
--- a/docs/reference/perc_runoff_exposit.html
+++ b/docs/reference/perc_runoff_exposit.html
@@ -75,7 +75,6 @@
<p>A table of the loss percentages used in Exposit 3 for the twelve different Koc classes</p>
- <pre class="usage"><span class='no'>Koc_breaks</span></pre>
<h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
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..104db91 100644
--- a/docs/reference/pesticide.txt
+++ b/docs/reference/pesticide.txt
@@ -13,3 +13,9 @@ 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
+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_exposit.Rd b/man/perc_runoff_exposit.Rd
index 70f80c5..4f460e4 100644
--- a/man/perc_runoff_exposit.Rd
+++ b/man/perc_runoff_exposit.Rd
@@ -1,9 +1,7 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/PEC_sw_exposit_runoff.R
-\docType{data}
\name{perc_runoff_exposit}
\alias{perc_runoff_exposit}
-\alias{Koc_breaks}
\title{Runoff loss percentages as used in Exposit 3}
\format{A data frame with percentage values for the dissolved fraction and the fraction
bound to eroding particles, with Koc classes used as row names
@@ -17,13 +15,9 @@
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{
-Koc_breaks
-}
\description{
A table of the loss percentages used in Exposit 3 for the twelve different Koc classes
}
\examples{
print(perc_runoff_exposit)
}
-\keyword{datasets}
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{

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