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

Teradata® R Package Function Reference
Product
Teradata R Package
Release Number
16.20
Published
February 2020
Language
English (United States)
Last Update
2020-02-28
dita:id
B700-4007
lifecycle
previous
Product Category
Teradata Vantage

Description

The WeightedMovAvg function computes the weighted moving average of points in a time series, applying weights to older values. The weights for the older values decrease arithmetically.

Usage

  td_weighted_mov_avg_mle (
      data = NULL,
      target.columns = NULL,
      include.first = FALSE,
      window.size = 10,
      data.sequence.column = NULL,
      data.partition.column = NULL,
      data.order.column = NULL
  )

Arguments

data

Required Argument.
Specifies the input tbl object of class "tbl_teradata" that contains the columns.

data.partition.column

Required Argument.
Specifies Partition By columns for data.
Values to this argument can be provided as vector, if multiple columns are used for partition.
Types: character OR vector of Strings (character)

data.order.column

Required Argument.
Specifies the Order By columns for data.
Values to this argument can be provided as vector, if multiple columns are used for ordering.

target.columns

Optional Argument.
Specifies the input column names for which the moving average is to be computed. If you omit this argument, then the function copies every input column to the output tbl object but does not compute moving average.

include.first

Optional Argument.
Specifies whether to include the starting rows in the output table. If you specify TRUE, the output columns for the starting rows contain NA, because their exponential moving average is undefined.
Default Value: FALSE

window.size

Optional Argument.
Specifies the number of old values to be considered for calculating the new weighted moving average.
Default Value: 10

data.sequence.column

Optional Argument.
Specifies the vector of column(s) that uniquely identifies each row of the input argument "data". The argument is used to ensure deterministic results for functions which produce results that vary from run to run.

Value

Function returns an object of class "td_weighted_mov_avg_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("weightedmovavg_example", "stock_vol")
    
    # Create remote tibble objects.
    stock_vol <- tbl(con, "stock_vol")
    
    # Example: Compute the simple moving average for columns: "stockprice" and "volume".
    # The input table, stock_vol, contains hypothetical stock price and volume data of three
    # companies between 17 May 1961 and 21 June 1961.
    # Note: This also includes the first 9 rows with moving average NA.
    td_weighted_mov_avg_out <- td_weighted_mov_avg_mle(data = stock_vol,
                                                   data.partition.column = c("id"),
                                                   data.order.column = c("name"),
                                                   target.columns = c("stockprice","volume"),
                                                   include.first = TRUE,
                                                   window.size = 5
                                                   )