lm_error_var {paramtest} | R Documentation |
Calculate error variance given model coefficients.
Description
lm_error_var
will calculate the required error variance for a linear
model, given specified model coefficients, to create variance for your
dependent variable of approximately 'var'.
Usage
lm_error_var(var = 1, ...)
Arguments
var |
The variance you wish your dependent variable to be. |
... |
Pass along all model coefficients, excluding the intercept. These can be named or unnamed. |
Details
Note: This function assumes that all predictors are independent (i.e., uncorrelated).
Value
Returns the required error variance so that the variance of your dependent variable is approximately 'var'.
Examples
lm_error_var(var=1, .15, .3) # returns error variance of 0.8875
[Package paramtest version 0.1.0 Index]