Model: Create the definition of multi-table and single-table...
| Model | R Documentation |
Create the definition of multi-table and single-table datasets
Description
Create the definition of a dataset containing one or more tables. The definition includes the name and description of the dataset and the name and description of each table, attribute, and metric within the dataset.
Public fields
tablesList containing lists of data.frames and corresponding table names
nameName of the dataset
descriptionDescription of the data set. Must be less than or equal to 250 characters
folder_idID of the shared folder that the dataset should be created within. If NULL, defaults to the user's My Reports folder
Methods
Public methods
Method new()
Usage
Model$new(tables, name, description = NULL, folder_id = NULL)
Method get_model()
Usage
Model$get_model()
Method get_name()
Usage
Model$get_name()
Method get_description()
Usage
Model$get_description()
Method get_folder_id()
Usage
Model$get_folder_id()
Method get_tables()
Usage
Model$get_tables()
Method get_attributes()
Usage
Model$get_attributes()
Method get_metrics()
Usage
Model$get_metrics()
Method clone()
The objects of this class are cloneable with this method.
Usage
Model$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Examples
## Not run:
# Create data frames
df1 <- data.frame("id" = c(1, 2, 3, 4, 5),
"first_name" = c("Jason", "Molly", "Tina", "Jake", "Amy"),
"last_name" = c("Miller", "Jacobson", "Turner", "Milner", "Cooze"))
df2 <- data.frame("id" = c(1, 2, 3, 4, 5),
"age" = c(42, 52, 36, 24, 73),
"state" = c("VA", "NC", "WY", "CA", "CA"),
"salary" = c(50000, 100000, 75000, 85000, 250000))
# Create a list of tables containing one or more tables and their names
tables = list(list("table_name" = "employee_id",
"data_frame" = df1),
list("table_name" = "employee_data",
"data_frame" = df2))
# Generate the data model
model <- Model$new(tables=tables, name="Employees", description="Employee Analytics Data")
model_info <- model$get_model()
## End(Not run)
