depbcomp: Power for Comparing Dependent Coefficients in Multiple...

In chrisaberson/BetterReg: Better Statistics for OLS and Binomial Logistic Regression

Power for Comparing Dependent Coefficients in Multiple Regression with Two or Three Predictors Requires correlations between all variables as sample size. Means, sds, and alpha are option. Also computes Power(All)

Description

Power for Comparing Dependent Coefficients in Multiple Regression with Two or Three Predictors Requires correlations between all variables as sample size. Means, sds, and alpha are option. Also computes Power(All)

Usage

depbcomp(
  data = NULL,
  y = NULL,
  x1 = NULL,
  x2 = NULL,
  x3 = NULL,
  x4 = NULL,
  x5 = NULL,
  numpred = NULL,
  comps = "abs"
)

Arguments

data	name of data file
y	dependent variable name
x1	first predictor variable name
x2	second predictor variable name
x3	third predictor variable name
x4	fourth predictor variable name
x5	fifth predictor variable name
numpred	number of predictors
comps	Type of comparison, "abs" for absolute values or "raw" for raw coefficients

Value

Comparing Dependent Coefficients in Multiple Regression

Examples

depbcomp(data=testreg,y="y",x1="x1",x2="x2",x3="x3",x4="x4",x5="x5", numpred=5,comps="abs")

chrisaberson/BetterReg documentation built on June 10, 2022, 10:03 p.m.