diff options
Diffstat (limited to 'man/drift_data_JKI.Rd')
| -rw-r--r-- | man/drift_data_JKI.Rd | 49 |
1 files changed, 1 insertions, 48 deletions
diff --git a/man/drift_data_JKI.Rd b/man/drift_data_JKI.Rd index bde9aad..49b7552 100644 --- a/man/drift_data_JKI.Rd +++ b/man/drift_data_JKI.Rd @@ -14,7 +14,7 @@ data for field crops (Ackerbau), and Pome/stone fruit, early and late 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 +on 2015-06-11, not present any more 2024-01-31 Rautmann, D., Streloke, M and Winkler, R (2001) New basic drift values in the authorization procedure for plant protection products Mitt. Biol. @@ -43,53 +43,6 @@ Values for non-professional use listed in the JKI spreadsheet were not included. } \examples{ - -\dontrun{ - # 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", "Weinbau frueh", "Weinbau spaet", - "Hopfenbau", "Flaechenkulturen > 900 l/ha", "Gleisanlagen") - names(JKI_crops) <- c("Field crops", "Pome/stone fruit, early", "Pome/stone fruit, late", - "Vines early", "Vines late", "Hops", "Areic cultures > 900 L/ha", "Railroad tracks") - drift_data_JKI <- list() - - for (n in 1:8) { - drift_data_raw <- read_excel(abdrift_path, sheet = n + 1, skip = 2) - drift_data <- matrix(NA, nrow = 9, ncol = length(JKI_crops)) - dimnames(drift_data) <- list(distance = drift_data_raw[[1]][1:9], - crop = JKI_crops) - if (n == 1) { # Values for railroad tracks only present for one application - drift_data[, c(1:3, 5:8)] <- as.matrix(drift_data_raw[c(2:7, 11)][1:9, ]) - } else { - drift_data[, c(1:3, 5:7)] <- as.matrix(drift_data_raw[c(2:7)][1:9, ]) - } - drift_data_JKI[[n]] <- drift_data - } - - # Manual data entry from the Rautmann paper - drift_data_JKI[[1]]["3", "Ackerbau"] <- 0.95 - drift_data_JKI[[1]][, "Weinbau frueh"] <- c(NA, 2.7, 1.18, 0.39, 0.2, 0.13, 0.07, 0.04, 0.03) - drift_data_JKI[[2]]["3", "Ackerbau"] <- 0.79 - drift_data_JKI[[2]][, "Weinbau frueh"] <- c(NA, 2.53, 1.09, 0.35, 0.18, 0.11, 0.06, 0.03, 0.02) - drift_data_JKI[[3]]["3", "Ackerbau"] <- 0.68 - drift_data_JKI[[3]][, "Weinbau frueh"] <- c(NA, 2.49, 1.04, 0.32, 0.16, 0.10, 0.05, 0.03, 0.02) - drift_data_JKI[[4]]["3", "Ackerbau"] <- 0.62 - drift_data_JKI[[4]][, "Weinbau frueh"] <- c(NA, 2.44, 1.02, 0.31, 0.16, 0.10, 0.05, 0.03, 0.02) - drift_data_JKI[[5]]["3", "Ackerbau"] <- 0.59 - drift_data_JKI[[5]][, "Weinbau frueh"] <- c(NA, 2.37, 1.00, 0.31, 0.15, 0.09, 0.05, 0.03, 0.02) - drift_data_JKI[[6]]["3", "Ackerbau"] <- 0.56 - drift_data_JKI[[6]][, "Weinbau frueh"] <- c(NA, 2.29, 0.97, 0.30, 0.15, 0.09, 0.05, 0.03, 0.02) - drift_data_JKI[[7]]["3", "Ackerbau"] <- 0.55 - drift_data_JKI[[7]][, "Weinbau frueh"] <- c(NA, 2.24, 0.94, 0.29, 0.15, 0.09, 0.05, 0.03, 0.02) - drift_data_JKI[[8]]["3", "Ackerbau"] <- 0.52 - drift_data_JKI[[8]][, "Weinbau frueh"] <- c(NA, 2.16, 0.91, 0.28, 0.14, 0.09, 0.04, 0.03, 0.02) - - # Save the data - save(drift_data_JKI, file = "data/drift_data_JKI.RData") -} - -# And these are the resulting data drift_data_JKI } \keyword{datasets} |