reg.linreg: Linear regression processor
In PMmisc: P&M Miscellaneous R Functions
Description
Usage
Arguments
Examples
Description
This function will take a data frame and the dependent variable and fit all possible combinations of models.
The result will be a data frame of models and test statistics for all the models possible. The test statistics are current set and contain all
the following: R-squared, Adjusted R-squared, Degree of freedom, Residual standard error, AIC, BIC, Durbin-Watson statistic.
Usage
1
reg.linreg(dataframe,dependent)
Arguments
dataframe
:a data frame, which includes the dependent variable
dependent
:dependent variable
Examples
1
reg.linreg(mtcars,"mpg")
PMmisc documentation built on May 1, 2019, 9:57 p.m.
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Description Usage Arguments Examples
Description
This function will take a data frame and the dependent variable and fit all possible combinations of models. The result will be a data frame of models and test statistics for all the models possible. The test statistics are current set and contain all the following: R-squared, Adjusted R-squared, Degree of freedom, Residual standard error, AIC, BIC, Durbin-Watson statistic.
Usage
1 | reg.linreg(dataframe,dependent)
|
Arguments
dataframe |
:a data frame, which includes the dependent variable |
dependent |
:dependent variable |
Examples
1 | reg.linreg(mtcars,"mpg")
|
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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