From 90e5ff0a9fdadd65e179c04c7d43b4db6e301984 Mon Sep 17 00:00:00 2001
From: Johannes Ranke 
Date: Mon, 6 Mar 2017 17:59:16 +0100
Subject: Move static docs to pkdown.jrwb.de, update them
---
 README.md                      |  6 +++---
 docs/index.html                |  8 ++++----
 docs/reference/PELMO_runs.html |  2 +-
 inst/staticdocs/index.r        | 42 ------------------------------------------
 4 files changed, 8 insertions(+), 50 deletions(-)
 delete mode 100644 inst/staticdocs/index.r
diff --git a/README.md b/README.md
index a0de830..b4b2caa 100644
--- a/README.md
+++ b/README.md
@@ -33,13 +33,13 @@ install_github("jranke/pfm", quick = TRUE)
 
 ## Use
 
-Please refer to the [reference](http://jranke.github.io/pfm/reference/index.html).
+Please refer to the [reference](http://pkgdown.jrwb.de/pfm/reference/index.html).
 
 ## Examples
 
 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 [here](http://jranke.github.io/pfm/reference/plot.one_box.html).
+of mkinfit predictions as shown [here](http://pkgdown.jrwb.de/pfm/reference/plot.one_box.html).
 
 Another, even more recent example shows how FOCUS PELMO can be run in parallel under Linux
-as shown [here](http://jranke.github.io/pfm/reference/PELMO_runs.html).
+as shown [here](http://pkgdown.jrwb.de/pfm/reference/PELMO_runs.html).
diff --git a/docs/index.html b/docs/index.html
index 0c53fe9..0a45d75 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -64,18 +64,18 @@ this program. If not, see <http://www.gnu.org/license
  Installation
 You can install the package from github, e.g. using the devtools package. Using quick = TRUE skips docs, multiple-architecture builds, demos, and vignettes, to make installation as fast and painless as possible.
 library(devtools)
-install_github("jranke/pfm", subdir = "pkg", quick = TRUE)
 
+install_github("jranke/pfm", quick = TRUE)
 
 
 
 
  Examples
-
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 here.
-
Another, even more recent example shows how FOCUS PELMO can be run in parallel under Linux as shown here.
+
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 here.
+
Another, even more recent example shows how FOCUS PELMO can be run in parallel under Linux as shown here.
  
 
   
diff --git a/docs/reference/PELMO_runs.html b/docs/reference/PELMO_runs.html
index 23a7a30..4b7f7fb 100644
--- a/docs/reference/PELMO_runs.html
+++ b/docs/reference/PELMO_runs.html
@@ -171,7 +171,7 @@ the period.plm file generated by the FOCUS PELMO GUI.
 #> 
 #> # We get exactly the same PECgw values (on Linux, calling PELMO using Wine).
 print(time_1)
#>        User      System verstrichen 
-#>     228.532       0.540      57.195 
+#>     229.448       0.524      57.021 
 # Demonstrate some results with metabolites.
 runs_2 <- list(list(psm = 'Pesticide_D_1_May_every_other_year_mets',
                     win = c("Cha", "Ham", "Kre")))
diff --git a/inst/staticdocs/index.r b/inst/staticdocs/index.r
deleted file mode 100644
index 421071c..0000000
--- a/inst/staticdocs/index.r
+++ /dev/null
@@ -1,42 +0,0 @@
-sd_section(
-  "Degradation",
-  "Functions related to degradation",
-  c("pfm_degradation", "SFO_actual_twa")
-)
-sd_section(
-  "Mobility",
-  "Indicators related to mobility",
-  c("GUS", "SSLRC_mobility_classification")
-)
-sd_section(
-  "Soil",
-  "Predicted environmental concentrations in soil",
-  c("PEC_soil", "soil_scenario_data_EFSA_2015")
-)
-sd_section(
-  "Surface water",
-  "Predicted environmental concentrations in surface water",
-  c(
-    "PEC_sw_drift", "PEC_sw_sed",
-    "drift_data_JKI",
-    "PEC_sw_drainage_UK", 
-    "TOXSWA_cwa",
-    "read.TOXSWA_cwa", 
-    "plot.TOXSWA_cwa"
-    )
-)
-sd_section(
-  "Groundwater",
-  "Predicted environmental concentrations in groundwater",
-  c("FOCUS_GW_scenarios_2012")
-)
-sd_section(
-  "Chemical entities",
-  "Work with input stored in chemical entites as R objects using the chent package",
-  c("endpoint")
-)
-sd_section(
-  "General",
-  "Utilities that are generally useful",
-  c("geomean")
-)
-- 
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