*! version 1.0 20jul2015

Title

stdParm -- After regress, logit, or glm,
calculates centered and standardized coefficients.

Syntax

stdParm
[ , nodepvar store replace estimates_table_options]

Main
nodepvar do not center or rescale the dependent variable

store store centered and standardized estimation results

replace overwrite estimates already stored

estimates_table_options output options to pass to estimates table

Description

stdParm Post estimation after a generalized linear model,
calculates centered and standardized coefficients, outputs the
results using estimates table, and returns
the centering and standardizing matrices.

Note: for models estimated with logit or logistic, the dependent
variable is not centered. For other glm models be sure to specify
the appropriate option.

Options

Main

nodepvar suppresses centering and rescaling the dependent variable.

store stores ereturn statistics for all three models. These are
estimates stores named Original, Centered, and Standardized.

replace if any estimates stores named Original, Centered, and Standardized
already exist, you must replace them.

estimates_table_options options passed to estimates table for
reporting.

Remarks

Presented at 2015 Stata Conference Columbus.

Examples

. regress price c.mpg##c.weight

. stdParm

Stored Results

stdParm stores the following in r():

Matrices

r(C) recentering matrix

r(S) rescaling matrix