From c97a4f5a9fe30ffc3321681a97eea167cfc427b5 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 23 Jul 2020 12:22:25 +0200 Subject: PEC_sw_drift: Rautmann formula (1 app, Ackerbau) This makes it possible to calculate drift PECsw for other distances than present in the JKI data or the Rautmann paper. --- docs/reference/drift_data_JKI.html | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'docs/reference/drift_data_JKI.html') diff --git a/docs/reference/drift_data_JKI.html b/docs/reference/drift_data_JKI.html index dd78451..36472d1 100644 --- a/docs/reference/drift_data_JKI.html +++ b/docs/reference/drift_data_JKI.html @@ -75,7 +75,7 @@ published by the German Julius-Kühn Institute (JKI)." /> pfm - 0.5.7 + 0.5.8 @@ -162,7 +162,7 @@ included.

drift_data_JKI <- list() for (n in 1:8) { - drift_data_raw <- read_excel(abdrift_path, sheet = n + 1, skip = 2) + 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) @@ -196,7 +196,7 @@ included.

save(drift_data_JKI, file = "data/drift_data_JKI.RData") } -# And this is the resulting data +# And these are the resulting data drift_data_JKI
#> [[1]] #> crop #> distance Ackerbau Obstbau frueh Obstbau spaet Weinbau frueh Weinbau spaet -- cgit v1.2.1