armadillo.subset | R Documentation |
This automates the process of:
Checking what data is available to create subsets
Make the subset
armadillo.subset(
input_source = NULL,
subset_def = NULL,
source_project = NULL,
source_folder = NULL,
source_table = NULL,
target_project = NULL,
target_folder = NULL,
target_table = NULL,
target_vars = NULL,
new_project = NULL,
dry_run = NULL
)
input_source |
Character specifying how information about the target view is provided: choose 'subset_def' if providing a subset definition object, or 'arguments' if providing information directly. |
subset_def |
R object containing subset definition created by
|
source_project |
project from which to subset data |
source_folder |
folder from which to subset data. Compulsory if input_source = 'arguments'. |
source_table |
table from which to subset data. Compulsory if input_source = 'arguments'. |
target_project |
project to upload subset to. Will be created if it doesn't exist. |
target_folder |
folder to upload subset to. Will be created if it doesn't exist. Compulsory if input_source = 'arguments'. |
target_table |
table to upload subset to. Compulsory if input_source = 'arguments'. |
target_vars |
variables from 'source_table' to include in the view. Compulsory if input_source = 'arguments'. |
new_project |
Deprecated: use |
dry_run |
Defunct: previously enabgled dry-run to check which variables are missing |
missing variables provided in the subset definition
## Not run:
armadillo.subset(
source_project = "gecko",
target_project = "study1",
subset_def = local_subset
)
## End(Not run)
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