View source: R/load_pradeep2020.R
load_pradeep2020 | R Documentation |
This function returns an updated version of chem.physical_and_invitro.data that includes data predicted with Support Vector Machine and Random Forest models developed and presented in Pradeep et al. 2020, included in pradeep2020.
load_pradeep2020(overwrite = FALSE, target.env = .GlobalEnv)
overwrite |
Only matters if load.image=FALSE. If overwrite=TRUE then existing data in chem.physical_and_invitro.data will be replaced by any data/predictions in Pradeep et al. (2020) that is for the same chemical and property. If overwrite=FALSE (DEFAULT) then new data for the same chemical and property are ignored. Funbound.plasma values of 0 (below limit of detection) are overwritten either way. |
target.env |
The environment where the new chem.physical_and_invitro.data is loaded. Defaults to global environment. |
data.frame |
An updated version of chem.physical_and_invitro.data. |
Sarah E. Davidson
pradeep2020chemstrhttk
## Not run: chem.physical_and_invitro.data <- load_pradeep2020() chem.physical_and_invitro.data <- load_pradeep2020(overwrite=TRUE) ## End(Not run)
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