From e05656d57668688b971c28e32b4cfd4d3eac4662 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 18 Sep 2019 13:03:50 +0200 Subject: Correct and rebuild docs - Reconcile docs and code for max_twa_parent - Correct links to docs in twa vignette - Static documentation rebuilt by pkgdown --- docs/reference/experimental_data_for_UBA.html | 36 ++++++++++++++++++--------- 1 file changed, 24 insertions(+), 12 deletions(-) (limited to 'docs/reference/experimental_data_for_UBA.html') diff --git a/docs/reference/experimental_data_for_UBA.html b/docs/reference/experimental_data_for_UBA.html index 512cb6e4..f35aee5f 100644 --- a/docs/reference/experimental_data_for_UBA.html +++ b/docs/reference/experimental_data_for_UBA.html @@ -16,13 +16,15 @@ - + + - - + + + @@ -75,6 +77,7 @@ Dataset 12 is from the Renewal Assessment Report (RAR) for thifensulfuron-methyl + @@ -144,6 +147,7 @@ Dataset 12 is from the Renewal Assessment Report (RAR) for thifensulfuron-methyl +
@@ -196,12 +200,15 @@ Dataset 12 is from the Renewal Assessment Report (RAR) for thifensulfuron-methyl each containing, among others, the following components

title

The name of the dataset, e.g. Soil 1

data

A data frame with the data in the form expected by mkinfit

-
+ + +

Source

-

Austria (2015). Ethofumesate Renewal Assessment Report Volume 3 Annex B.8 (AS)

+ +

Austria (2015). Ethofumesate Renewal Assessment Report Volume 3 Annex B.8 (AS)

Belgium (2014). Isofetamid (IKF-5411) Draft Assessment Report Volume 3 Annex B.8 (AS)

France (2015). Imazamox Draft Renewal Assessment Report Volume 3 Annex B.8 (AS)

FOCUS (2014) “Generic guidance for Estimating Persistence and @@ -221,7 +228,8 @@ Dataset 12 is from the Renewal Assessment Report (RAR) for thifensulfuron-methyl

Examples

-
+
# \dontrun{ + # Model definitions sfo_sfo <- mkinmod( parent = mkinsub("SFO", to = "A1"), @@ -244,14 +252,14 @@ Dataset 12 is from the Renewal Assessment Report (RAR) for thifensulfuron-methyl A1 = mkinsub("SFO", to = "A2"), A2 = mkinsub("SFO"), use_of_ff = "max" -)
#> Successfully compiled differential equation model from auto-generated C code.
d_1_2 <- lapply(experimental_data_for_UBA_2019[1:2], function(x) x$data) -names(d_1_2) <- paste("Soil", 1:2) +)
#> Successfully compiled differential equation model from auto-generated C code.
d_1_2 <- lapply(experimental_data_for_UBA_2019[1:2], function(x) x$data) +names(d_1_2) <- paste("Soil", 1:2) -f_1_2_tc <- mmkin(list("DFOP-SFO-SFO" = dfop_sfo_sfo), d_1_2, error_model = "tc") +f_1_2_tc <- mmkin(list("DFOP-SFO-SFO" = dfop_sfo_sfo), d_1_2, error_model = "tc") -plot(f_1_2_tc, resplot = "errmod")
-
+plot(f_1_2_tc, resplot = "errmod")
+# }
+ + + -- cgit v1.2.1