From 3bb842b93107dd6207610de1fe5b44be66779e4d Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 25 Apr 2019 10:25:56 +0200 Subject: Remove leftover docs from earlier version Docs now live in docs/ --- inst/web/drift_data_JKI.html | 239 ------------------------------------------- 1 file changed, 239 deletions(-) delete mode 100644 inst/web/drift_data_JKI.html (limited to 'inst/web/drift_data_JKI.html') diff --git a/inst/web/drift_data_JKI.html b/inst/web/drift_data_JKI.html deleted file mode 100644 index c3471c9..0000000 --- a/inst/web/drift_data_JKI.html +++ /dev/null @@ -1,239 +0,0 @@ - - - - -drift_data_JKI. pfm 0.3-7 - - - - - - - - - - - - - - - - - -
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Deposition from spray drift expressed as percent of the applied dose as -published by the JKI

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Format

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A list currently containing matrices with spray drift percentage -data for field crops (Ackerbau), and Pome/stone fruit, early and late -(Obstbau frueh, spaet).

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Source

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JKI (2010) Spreadsheet 'Tabelle der Abdrifteckwerte.xls', retrieved -from -http://www.jki.bund.de/no_cache/de/startseite/institute/anwendungstechnik/abdrift-eckwerte.html -on 2015-06-11

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Description

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Deposition from spray drift expressed as percent of the applied dose as -published by the German Julius-Kühn Institute (JKI).

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Details

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The data were extracted from the spreadsheet cited below using the R code -given in the example section. The spreadsheet is not included in the package -as its licence is not clear.

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Examples

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-## Not run: -# # This is the code that was used to extract the data -# library(readxl) -# abdrift_path <- "inst/extdata/Tabelle der Abdrifteckwerte.xls" -# JKI_crops <- c("Ackerbau", "Obstbau frueh", "Obstbau spaet") -# names(JKI_crops) <- c("Field crops", "Pome/stone fruit, early", "Pome/stone fruit, late") -# drift_data_JKI <- list() -# -# for (n in 1:8) { -# drift_data_raw <- read_excel(abdrift_path, sheet = n + 1, skip = 2) -# drift_data <- as.matrix(drift_data_raw[1:9, 2:4]) -# dimnames(drift_data) <- list(distance = as.integer(drift_data_raw[1:9, 1]), -# crop = JKI_crops) -# drift_data_JKI[[n]] <- drift_data -# } -# save(drift_data_JKI, file = "data/drift_data_JKI.RData") -# ## End(Not run) - -# And this is the resulting data -drift_data_JKI -
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[[1]] - crop -distance Ackerbau Obstbau frueh Obstbau spaet - 1 2.77 NA NA - 3 NA 29.20 15.73 - 5 0.57 19.89 8.41 - 10 0.29 11.81 3.60 - 15 0.20 5.55 1.81 - 20 0.15 2.77 1.09 - 30 0.10 1.04 0.54 - 40 0.07 0.52 0.32 - 50 0.06 0.30 0.22 - -[[2]] - crop -distance Ackerbau Obstbau frueh Obstbau spaet - 1 2.38 NA NA - 3 NA 25.53 12.13 - 5 0.47 16.87 6.81 - 10 0.24 9.61 3.11 - 15 0.16 5.61 1.58 - 20 0.12 2.59 0.90 - 30 0.08 0.87 0.40 - 40 0.06 0.40 0.23 - 50 0.05 0.22 0.15 - -[[3]] - crop -distance Ackerbau Obstbau frueh Obstbau spaet - 1 2.01 NA NA - 3 NA 23.96 11.01 - 5 0.41 15.79 6.04 - 10 0.20 8.96 2.67 - 15 0.14 4.24 1.39 - 20 0.10 2.01 0.80 - 30 0.07 0.70 0.36 - 40 0.05 0.33 0.21 - 50 0.04 0.19 0.13 - -[[4]] - crop -distance Ackerbau Obstbau frueh Obstbau spaet - 1 1.85 NA NA - 3 NA 23.61 10.12 - 5 0.38 15.42 5.60 - 10 0.19 8.66 2.50 - 15 0.13 4.01 1.28 - 20 0.10 1.89 0.75 - 30 0.06 0.66 0.35 - 40 0.05 0.31 0.20 - 50 0.04 0.17 0.13 - -[[5]] - crop -distance Ackerbau Obstbau frueh Obstbau spaet - 1 1.75 NA NA - 3 NA 23.12 9.74 - 5 0.36 15.06 5.41 - 10 0.18 8.42 2.43 - 15 0.12 3.83 1.24 - 20 0.09 1.81 0.72 - 30 0.06 0.63 0.34 - 40 0.05 0.30 0.20 - 50 0.04 0.17 0.13 - -[[6]] - crop -distance Ackerbau Obstbau frueh Obstbau spaet - 1 1.64 NA NA - 3 NA 22.76 9.21 - 5 0.34 14.64 5.18 - 10 0.17 8.04 2.38 - 15 0.11 3.71 1.20 - 20 0.09 1.75 0.68 - 30 0.06 0.61 0.31 - 40 0.04 0.29 0.17 - 50 0.03 0.16 0.11 - -[[7]] - crop -distance Ackerbau Obstbau frueh Obstbau spaet - 1 1.61 NA NA - 3 NA 22.69 9.10 - 5 0.33 14.45 5.11 - 10 0.17 7.83 2.33 - 15 0.11 3.62 1.20 - 20 0.08 1.71 0.67 - 30 0.06 0.60 0.30 - 40 0.04 0.28 0.17 - 50 0.03 0.16 0.11 - -[[8]] - crop -distance Ackerbau Obstbau frueh Obstbau spaet - 1 1.52 NA NA - 3 NA 22.24 8.66 - 5 0.31 14.09 4.92 - 10 0.16 7.58 2.29 - 15 0.11 3.48 1.14 - 20 0.08 1.65 0.65 - 30 0.05 0.57 0.29 - 40 0.04 0.27 0.16 - 50 0.03 0.15 0.11 - -
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