7.00.02.01 - summary() - Aster R

Teradata Aster® R User GuideUpdate 3

prodname
Aster R
vrm_release
7.00.02.01
created_date
December 2017
category
Programming Reference
User Guide
featnum
B700-1033-700K

The summary() function is a wrapper function for the functions defined below and returns values based on the input argument.

  • summary.ta.glm(): Use the summary.ta.glm() function to get the summary of the glm model. This function returns model coefficients and parameter estimates.
  • summary.ta.glm.predict(): Use the summary.ta.glm.predict() function to get the summary of the predicted values for glm. This function returns the max, min, median, first quartile, and third quartile of the predicted values.
  • summary.ta.lars(): Use the summary.ta.lars() function to get the summary of the lars model. This function returns model coefficients and parameter estimates.
  • summary.ta.lars.predict(): Use the summary.ta.lars.predict() function to get the summary of the predicted values for lars. This function returns the max, min, median, first quartile, and third quartile of the predicted values.
  • summary.aa.glm(): This is the default summary function for class aa.glm. Use the summary.aa.glm() function to get the summary of the glm model. This function returns model coefficients and parameter estimates.
  • summary.aa.glm.predict(): Use the summary.aa.glm.predict() function to get the summary of the predicted values for glm. This function returns the max, min, median, first quartile, and third quartile of the predicted values.
  • summary.aa.lars(): This is the default summary function for class aa.lars. Use the summary.aa.lars() function to get the summary of the lars model. This function returns model coefficients and parameter estimates.
  • summary.aa.lars.predict(): Use the summary.aa.lars.predict() function to get the summary of the predicted values for lars. This function returns the max, min, median, first quartile, and third quartile of the predicted values.