Teradata R Package Function Reference - CCMPrepare - Teradata R Package - Look here for syntax, methods and examples for the functions included in the Teradata R Package.

Description

The CCMPrepare (td_ccm_prepare_mle) function prepares an input table for the CCM function by adding a partition column, "aster_ccm_id", and partitioning the data. Using the CCMPrepare function is optional. However, partitioning the data, instead of having all sequences on one vworker, may increase the speed of the CCM (td_ccm_mle) function for large data sets consisting of multiple sequences.

Usage

  td_ccm_prepare_mle (
      data = NULL,
      data.partition.column = NULL
  )

Arguments

Value

Function returns an object of class "td_ccm_prepare_mle" which is a named list containing Teradata tbl object.
Named list member can be referenced directly with the "$" operator using name: result.

Examples

    # Get the current context/connection
    con <- td_get_context()$connection
    
    # Load example data.
    loadExampleData("ccmprepare_example", "ccmprepare_input")
    
    # The ccmprepare_input table, ccmprepare_input, is a collection of nine 
    # time series consisting of 10 values for each of three variables 
    # (expenditure, income, and investment)
    ccmprepare_input <- tbl(con, "ccmprepare_input")
    
    # Prepare the given input for CCM
    td_ccm_prepare_out <- td_ccm_prepare_mle(data = ccmprepare_input,
                                         data.partition.column = "id"
                                        )