Description
The ScaleMap (td_scale_map_mle
) function is designed for internal use only;
its output is not intended for human interpretation. The ScaleMap function
calculates and outputs statistical information for a data set at the
vworker level. The output of the ScaleMap function is intended to be
input to the functions Scale (td_scale_mle
, which calculates scaled values for the
data set) and ScaleSummary (td_scale_summary_mle
, which calculates global statistics for
the data set).
Usage
td_scale_map_mle ( data = NULL, input.columns = NULL, miss.value = "KEEP", data.sequence.column = NULL )
Arguments
data |
Required Argument. |
input.columns |
Required Argument. |
miss.value |
Optional Argument.
|
data.sequence.column |
Optional Argument. |
Value
Function returns an object of class "td_scale_map_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 about houses. loadExampleData("scalemap_example", "scale_housing") # Create remote tibble objects. scale_housing <- tbl(con, "scale_housing") # Example 1 - This example calculates and outputs statistical information. td_scale_map_out <- td_scale_map_mle(data = scale_housing, input.columns = colnames(scale_housing)[2:7], miss.value = "omit" )