ci_beta: Creates a confidence interval for the standardized regression...

In jbiesanz/fabs: Functions for Applied Behavioural Sciences

Creates a confidence interval for the standardized regression coefficient β.

Description

Creates a confidence interval for the standardized regression coefficient β.

Usage

ci_beta(t, df1, df2, r2, r2x, conf = 0.95, fixed = FALSE, iter = 50)

Arguments

t	The t-test for the standardized regression coefficient.
df1	The numerator degrees of freedom for the regression model.
df2	The denominator degrees of freedom for the regression model.
r2	The squared multiple correlation for the full regression model.
r2x	The coefficient of determination for the predictor of interest. This is the squared multiple correlation when the predictor of interest is predicted by all of the other variables in the regression model. 1 - tolerance.
conf	The desired (1-α) confidence level. The default is set to .95.
fixed	Specifies whether the predictors in the regression model are either fixed or random. The default is random predictors.
iter	Number of iterations for the stochastic approximation optimization. Default is 50.

Value

Returns the lower and upper endpoints of the confidence interval.

jbiesanz/fabs documentation built on July 15, 2022, 11:02 p.m.