summary() - Aster R

Teradata Aster® R User GuideUpdate 3

Product

Aster R

Release Number

7.00.02.01

Published

December 2017

Language

English (United States)

Last Update

2018-04-13

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Product Category

Software

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.