Will write a dataset and an .RDS version of it to the (by default)
"DerivedData" directory. The main benefit of the .RDS dataset is that
use it for rapid reading speeding up overall function.
write_derived_data(d, name, ...)
A data.frame. Data frame to be saved.
Character. Name of file (with or without extension). If not a path, will save to DerivedData directory.
Additional arguments to be passed to
If there is no "DerivedData" data directory and you are using a
different structure the argument
name must be a (relative) path to
an existing directory where you want your NONMEM ready dataset to be stored.
No return value, called for side effects.
## requires NMproject directory structure to operate in ## Not run: ## read a dataset that's been copie into SourceData d <- read.csv("SourceData/orig_data.csv") ## modify it d <- d[d$ID < 10, ] d %>% write_derived_data("DerivedData/data.csv") ## load it again either with d <- read_derived_data("data") ## or more commonly if it is associated with run (e.g. m1), ## you can use input_data() to load it via the nm object d <- input_data(m1) ## End(Not run)
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