View source: R/importWaterLevel.R
importWaterLevel | R Documentation |
This function imports water level-related tables in the wetland RAM backend and combines them into flattened views for the data package. Each view is added to a VIEWS_WL environment in your workspace, or to your global environment based on whether new_env = TRUE or FALSE.
importWaterLevel(
export_protected = FALSE,
type = c("DSN", "file"),
odbc = "RAM_BE",
db_path = NA,
new_env = TRUE,
export_data = FALSE,
export_all = FALSE,
export_path = NA,
zip = FALSE
)
type |
Select whether to use the default Data Source Named database (DSN) to import data or a different database. If "DSN" is selected, must specify name in odbc argument.
|
odbc |
DSN of the database when using type = DSN. If not specified will default to "RAM_BE", which is the back end of the MS Access RAM database. |
db_path |
Quoted path of database back end file, including the name of the backend. |
new_env |
Logical. Specifies which environment to store views in. If |
export_data |
Logical. If TRUE, writes views to disk. If FALSE (Default), views are only stored in specified R environment. |
export_all |
Logical. If TRUE, exports Accepted, Certified and Raw (winter) records. If FALSE (default), only exports Accepted (pre-2021 QAQCed data) and Certified (post-2020 QAQCed data) records. Accepted and Certified records are those that were collected during the growing season and that were QAQCed following procedures documented in the protocol. |
export_path |
Quoted path to export views to. If blank, exports to working directory. |
zip |
Logical. If TRUE, exports a zip file. If FALSE (Default), exports individual csvs. |
Assigns RAM views to specified environment
## Not run:
# Import tables from database in specific folder:
importWaterLevel(type = 'file', db_path = './Data/NETN_RAM_Backend.mdb')
# Export zip with Accepted or Certified records only
importWaterLevel(export_data = T, zip = T, export_all = F)
## End(Not run)
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