qry_mod_info | R Documentation |
Returns a dataframe showing a given module's arguments, returns, and package dependencies.
qry_mod_info(modName, shinyMgrPath)
modName |
The name of the mod in the shinymgr database (e.g. subset_rows) |
shinyMgrPath |
File path to the main shiny manager project directory |
Dataframe consisting of the specified rows and columns
The shinymgr learnr tutorials include, in order:
learnr::run_tutorial(name = "intro", package = "shinymgr")
learnr::run_tutorial(name = "shiny", package = "shinymgr")
learnr::run_tutorial(name = "modules", package = "shinymgr")
learnr::run_tutorial(name = "app_modules", package = "shinymgr")
learnr::run_tutorial(name = "tests", package = "shinymgr")
learnr::run_tutorial(name = "shinymgr", package = "shinymgr")
learnr::run_tutorial(name = "database", package = "shinymgr")
learnr::run_tutorial(name = "shinymgr_modules", package = "shinymgr")
learnr::run_tutorial(name = "apps", package = "shinymgr")
learnr::run_tutorial(name = "analyses", package = "shinymgr")
learnr::run_tutorial(name = "reports", package = "shinymgr")
learnr::run_tutorial(name = "deployment", package = "shinymgr")
https://code.usgs.gov/vtcfwru/shinymgr
Other qry:
qry_app_flow()
,
qry_app_stitching()
,
qry_insert()
,
qry_row()
# set the file path to the main shinymgr directory
parentPath <- tempdir()
shinyMgrPath <- paste0(parentPath, '/shinymgr')
shinymgr_setup(parentPath = parentPath, demo = TRUE)
# get the details of the "subset_rows" modules
qry_mod_info(modName = "subset_rows", shinyMgrPath = shinyMgrPath)
#' # get the details of the "add_noise" modules
qry_mod_info(modName = "add_noise", shinyMgrPath = shinyMgrPath)
# remove demo
unlink(shinyMgrPath, recursive = TRUE)
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