diff options
author | Johannes Ranke <jranke@uni-bremen.de> | 2018-01-29 10:11:27 +0100 |
---|---|---|
committer | Johannes Ranke <jranke@uni-bremen.de> | 2018-01-29 10:22:14 +0100 |
commit | ffeec05d913f2e987da362c05df2afc2a8a23965 (patch) | |
tree | 0529da07666fc302be5cad765eb4f9aaa7e64d84 | |
parent | b9ce44748f2795ae1f35fe5a510e88635f247a7f (diff) |
Documentation fixes and updates
-rw-r--r-- | ChangeLog | 8 | ||||
-rw-r--r-- | DESCRIPTION | 2 | ||||
-rw-r--r-- | NAMESPACE | 5 | ||||
-rw-r--r-- | R/PEC_sw_exposit_runoff.R | 9 | ||||
-rw-r--r-- | R/TOXSWA_cwa.R | 4 | ||||
-rw-r--r-- | build.log | 4 | ||||
-rw-r--r-- | docs/reference/PELMO_runs.html | 2 | ||||
-rw-r--r-- | docs/reference/TOXSWA_cwa.html | 4 | ||||
-rw-r--r-- | docs/reference/perc_runoff_exposit.html | 1 | ||||
-rw-r--r-- | docs/reference/perc_runoff_reduction_exposit.html | 2 | ||||
-rw-r--r-- | docs/reference/pesticide.txt | 6 | ||||
-rw-r--r-- | docs/reference/read.TOXSWA_cwa.html | 2 | ||||
-rw-r--r-- | man/TOXSWA_cwa.Rd | 4 | ||||
-rw-r--r-- | man/perc_runoff_exposit.Rd | 6 | ||||
-rw-r--r-- | man/perc_runoff_reduction_exposit.Rd | 3 | ||||
-rw-r--r-- | man/read.TOXSWA_cwa.Rd | 2 |
16 files changed, 34 insertions, 30 deletions
@@ -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 @@ -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 @@ -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> #> #> </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'>#> User System verstrichen -#> 219.036 1.004 56.622 </div><div class='input'> +#> 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'><-</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{ |