scaleDataFrame

data

Number of standard deviations to divide by - defaults to 1.

numsd

Number of unique values required to standardize - variables with fewer than `nvals_fac` unique values will not be standardized.

nvals_fac

A character vector of names of variables to exclude from the standardization.

exclude

This function standardizes quantitative variables in a data frame while
leaving the others untouched. This leaves not only factors, but also binary
variables (those with values 0, 1, or NA).

Miscellaneous set of functions I use in my teaching either at the University of Western Ontario or the Inter-university Consortium for Political and Social Research (ICPSR) Summer Program in Quantitative Methods.  Broadly, the functions help with presentation and interpretation of LMs and GLMs, but also implement some new tools like Alternating Least Squares Optimal Scaling for dependent variables, a Bayesian analog to the ALSOS algorithm.  There are also tools to help understand interactions in both LMs and binary GLMs.

scaleDataFrame: Standardize quantitative variables in a data frame

Description

Usage

Arguments

Value