Review more standardizing functions

DESCRIPTION

@@ -2,7 +2,7 @@ Package: stdBeta
 Type: Package
 Title: Standardized Coefficients for Linear Models
 Description: Updates a model fit by substituting standarized variables.
-Version: 0.2.3
+Version: 1.0
 Authors@R: person("Doug", "Hemken", email="[email protected]", 
         role=c("aut", "cre"), comment="SSCC, Univ. of Wisconsin-Madison")
 Maintainer: Doug Hemken <[email protected]>

vignettes/Why_stdBeta.rmd

@@ -72,7 +72,9 @@ fit <- lm(mpg ~ disp*wt, mtcars)
 QuantPsyc::lm.beta(fit) # warning given, wrong results
 lm.beta::lm.beta(fit)
 lsr::standardCoefs(fit) # agrees with lm.beta::lm.beta, but no intercept
-arm::standardize(fit, standardize.y=TRUE)
+arm::standardize(fit, standardize.y=TRUE) # uses 2 sd
+reghelper::beta(fit) # Correct!
+effectsize::standardize(fit) # also correct!
 ```
 
 The `QuantPsyc` function uses the classic formula, but
@@ -100,11 +102,28 @@ of the exponentiation operator.
 coefficients(lm(zmpg ~ zwt + I(zwt^2))) # by "hand"
 fitsq <- lm(mpg ~ wt + I(wt^2), mtcars)
 stdBeta::stdBeta(fitsq)
+reghelper::beta(fitsq) # Correct!
+effectsize::standardize(fitsq) # also correct!
+
 ```
 
 The second method would be to use the `poly` function.
 ```{r poly2}
 coefficients(lm(zmpg ~ zwt + I(zwt^2))) # by "hand"
 fitpoly <- lm(mpg ~ poly(wt,2,raw=TRUE), data=mtcars)
 stdBeta::stdBeta(fitpoly)
+reghelper::beta(fitpoly) # Error
+effectsize::standardize(fitpoly) # also correct!
+```
+
+## Factors
+
+```{r}
+mtcars$am <- factor(mtcars$am)
+coefficients(lm(zmpg ~ zwt*am, data=mtcars)) # by "hand"
+fitfactor <- lm(mpg ~ wt*am, data=mtcars)
+stdBeta::stdBeta(fitfactor)
+reghelper::beta(fitfactor) # scales factors by default
+reghelper::beta(fitfactor, skip="am") # Correct
+effectsize::standardize(fitfactor) # also correct!
 ```