Description
The CumulativeMovAvg function computes the cumulative moving average of a value
from the beginning of a series.
When computing cumulative moving average, the data are added to the data set in an ordered data stream over
time. The objective is to compute the average of all the data at each point in time when new data
arrived.
Usage
td_cumulative_mov_avg_mle ( data = NULL, target.columns = NULL, data.sequence.column = NULL, data.partition.column = NULL, data.order.column = NULL )
Arguments
data |
Required Argument. |
data.partition.column |
Required Argument. |
data.order.column |
Required Argument. |
target.columns |
Optional Argument. |
data.sequence.column |
Optional Argument. |
Value
Function returns an object of class "td_cumulative_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("cumulativemovavg_example", "ibm_stock") # Create remote tibble objects. ibm_stock <- tbl(con, "ibm_stock") # Compute the cumulative moving average for "stockprice". td_cumulative_mov_avg_out <- td_cumulative_mov_avg_mle(data = ibm_stock, data.partition.column = c("name"), data.order.column = c("period"), target.columns = c("stockprice") )