standardized.beta: Compute standardized betas on a linear model object
In dustinfife/fifer2: A Biostatisticians Toolbox for Various Activities, Including Plotting, Data Cleanup, and Data Analysis
Description
Usage
Arguments
Details
Value
Author(s)
View source: R/standardized.beta.R
Description
Compute standardized betas on a linear model object
Usage
1
standardized.beta(object, sd.y = T, se = F)
Arguments
object
a lm object
sd.y
Should we scale based on standard deviation of Y as well as the predictors?
se
Should standard errors be reported?
Details
Compute standardized betas on a linear model object
Value
the standardized betas
Author(s)
Dustin Fife
dustinfife/fifer2 documentation built on Nov. 4, 2019, 11:04 a.m.
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Description Usage Arguments Details Value Author(s)
View source: R/standardized.beta.R
Description
Compute standardized betas on a linear model object
Usage
1 | standardized.beta(object, sd.y = T, se = F)
|
Arguments
object |
a lm object |
sd.y |
Should we scale based on standard deviation of Y as well as the predictors? |
se |
Should standard errors be reported? |
Details
Compute standardized betas on a linear model object
Value
the standardized betas
Author(s)
Dustin Fife
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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