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author | Johannes Ranke <jranke@uni-bremen.de> | 2021-09-15 11:22:36 +0200 |
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committer | Johannes Ranke <jranke@uni-bremen.de> | 2021-09-15 11:22:36 +0200 |
commit | 35eaf4f7bac89b249ff488e4e3021d4226ed9e23 (patch) | |
tree | 069a60ba1800416cc33f74fbc28db0ae9bcf45e5 /inst | |
parent | 7aecc67a81434c90b5766400e4474d9d9bd3fd63 (diff) |
Correction of the dimethenamid dataset
The data given in previous mkin versions for "Borstel 2" (Staudenmaier
2013) are in fact a subset of the "Borstel 1" data, with the "Borstel 2"
data simply being further analysed for isomer composition by
Staudenmaier (2013).
While correcting this, the URL of the RAR published by EFSA was
updated, as the EFSA Register of Questions was replaced by the
Open EFSA portal.
This also affects the recent publication in "Environments" [1], where
these two datasets were pooled. However, the influence on the final
results can be expected to be minimal. Out of the 16 observations for
the Borstel soil, five were erroneously duplicated which just changes
the weight of the different sampling points and modifies the variance.
The conclusions of the publication are qualitative and are not
considered to be affected.
[1] https://doi.org/10.3390/environments8080071
Diffstat (limited to 'inst')
-rw-r--r-- | inst/dataset_generation/dimethenamid_2018.R | 24 |
1 files changed, 8 insertions, 16 deletions
diff --git a/inst/dataset_generation/dimethenamid_2018.R b/inst/dataset_generation/dimethenamid_2018.R index 34a9dad1..52eef995 100644 --- a/inst/dataset_generation/dimethenamid_2018.R +++ b/inst/dataset_generation/dimethenamid_2018.R @@ -15,15 +15,7 @@ dimethenamid_2018 <- mkindsg$new( ) ) ), - mkinds$new("Borstel 1", # p. 22 - mkin_wide_to_long( - data.frame( - t = c(0, 28, 58, 89, 119), - DMTAP = c(100.5, 51.4, 26.8, 15.7, 7.9) - ) - ) - ), - mkinds$new("Borstel 2", # p. 19/20 + mkinds$new("Borstel", # p. 19/20 mkin_wide_to_long( data.frame( t = rep(c(0, 2, 7, 14, 28, 58, 89, 119), each = 2), @@ -134,20 +126,20 @@ dimethenamid_2018 <- mkindsg$new( # but the FOCUS generic guidance suggests them to be equivalent to the USDA # classes with the same name meta = data.frame( - study = c("Unsworth 2014", "Staudenmaier 2013", "Staudenmaier 2009", + study = c("Unsworth 2014", "Staudenmaier 2009", rep("Wendt 1997", 2), "König 1996", rep("König 1995", 2)), - usda_soil_type = c("Sandy loam", rep("Sand", 2), + usda_soil_type = c("Sandy loam", "Sand", rep("Clay loam", 2), "Sandy clay loam", "Loamy sand", "Sandy loam"), - study_moisture_ref_type = c("pF2", rep("pF1", 2), + study_moisture_ref_type = c("pF2", "pF1", rep("pF2.5", 2), rep("pF1", 3)), - rel_moisture = c(1, rep(0.5, 2), + rel_moisture = c(1, 0.5, rep(0.75, 2), rep(0.4, 3)), - study_ref_moisture = c(NA, rep(23, 2), rep(33.37, 2), rep(NA, 3)), - temperature = c(20, rep(20, 2), + study_ref_moisture = c(NA, 23, rep(33.37, 2), rep(NA, 3)), + temperature = c(20, 20, rep(23, 2), rep(20, 3)) ) ) -f_time_norm_focus(dimethenamid_2018) +f_time_norm_focus(dimethenamid_2018) # This modifies the R6 object in place save(dimethenamid_2018, file = "data/dimethenamid_2018.rda", version = 2) |