FM_fetch_ds {formods} | R Documentation |
Fetches Datasets from Modules in the App
Description
Loops through each specified module ID or all modules if no ID was specified. For each ID, an attempt will be made to extract any datasets available.
Usage
FM_fetch_ds(state, session, ids = NULL)
Arguments
state |
Current module state after yaml file has been read |
session |
Shiny session variable |
ids |
Vector of ID strings for the modules containing the datasets or NULL for all datasets available. |
Value
list containing the current dataset with the following format:
isgood: Boolean indicating the whether a dataset was found (
FALSE
)ds: List of datasets with element names corresponding to the R object name for that dataset. This has the following format
label: Text label for the dataset (used to display to the user)
DS: Data frame with the dataset
DSMETA: Data frame with metadata about the colunns of the dataset in
DS
. The data frame should have the following columns:col1: column 1
code: Code to generate the dataset.
checksum: Module checksum when the dataset was pulled
DSchecksum: Checksum of the dataframe in DS
catalog: Dataframe containing the a tabular catalog of the datasets found.
label: Text label
object: Name of the R Object containing the data frame
MOD_TYPE: Short name of the type of module
id: Module ID
checksum: Module checksum
DSchecksum: Checksum of the dataset
code: Code to generate the dataset
modules: List with an entry for each module. The element name is the short name. Each of these is a list with an entry that is the shiny module ID. For each of these there is a checksum. For example to access the checksum of a DW module with a module ID of 'my_id', you would use the following:
res$modules$DW$my_id
.
Examples
# We need a module state and a Shiny session variable
# to use this function:
id="UD"
sess_res = UD_test_mksession(session=list(), id=id)
session = sess_res$session
state = sess_res$state
ds = FM_fetch_ds(state, session)
ds$catalog