R: Tools for Standardizing Variables for Regression in R

# Tools for Standardizing Variables for Regression in R

## Documentation for package ‘standardize’ version 0.2.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

standardize-package | standardize: Tools for Standardizing Variables for Regression in R.
fac_and_contr | Create a factor and specify contrasts.
is.standardized | Determine if an object has class 'standardized'.
makepredictcall.scaledby | S3 'makepredictcall' method for class 'scaledby'.
named_contr_sum | Create named sum contrasts for an unordered factor.
predict.standardized | Place new data into an already existing standardized space.
print.standardized | S3 'print' method for class 'standardized'.
ptk | Duration and voicing measures of voiceless plosives in Spanish
scaled_contr_poly | Create scaled orthogonal polynomial contrasts for an ordered factor.
scale_by | Center and scale a continuous variable conditioning on factors.
standardize | Standardize a formula and data frame for regression.
standardize.news | Print the version history of the 'standardize' package.
standardized-class | Class 'standardized' containing regression variables in a standardized space.